3630 Matlab Jobs - Page 50

- Lead the architecture, design and development of Instruction Sequencing Unit for high-performance Processor CPU of IBM Systems. - Architect and design Instruction Dispatch to Issue queues, Register Renaming for Out of Order Execution, Issue instructions to Execution Pipelines, Reordering Buffers for completion of a high performance processor CPU - Develop the features, present the proposed architecture in the High level design discussions - Estimate the overall effort to develop the feature. - Estimate silicon area and wire usage for the feature. - Develop micro-architecture, Design RTL, Collaborate with other Core units, Verification, DFT, Physical design, Timing, FW, SW teams to develop the feature - Signoff the Pre-silicon Design that meets all the functional, area and timing goals - Participate in post silicon lab bring-up and validation of the hardware - Lead a team of engineers, guide and mentor team members, represent as Logic Design Lead in global forums. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 8 or more years of demonstrated experience in architecting and designing Instruction Dispatch unit of CPU - Hands of experience of implementing Issue Queues, Register renaming and forwarding, Reordering Buffer and Pipeline flush/exception handling - Deep expertise in Out of Order, Super Scalar, Multi-Threaded Core Architecture and ISA - Experience with high frequency, instruction pipeline designs - At least 1 generation of Processor Core silicon bring up experience - In depth understanding of industry microprocessor designs (e.g., x86, ARM, or RISC-V processor designs) - Proficiency of RTL design with Verilog or VHDL - Nice to haves - Knowledge of Instruction Decode and Execution units - Knowledge of verification principles and coverage - High-level knowledge of Linux operating system - Knowledge of one object oriented language and scripting language - Understanding of Agile development processes - Experience with DevOps design methodologies and tools

Lead the architecture, design and development of Processor Core Front end of pipeline units for high-performance IBM Systems. - Architect and design I-Cache, Instruction Fetch, Branch Prediction and Decode units of a high performance processor CPU - Develop the features, present the proposed architecture in the High level design discussions - Estimate the overall effort to develop the feature. - Estimate silicon area and wire usage for the feature. - Develop micro-architecture, Design RTL, Collaborate with other Core units, Verification, DFT, Physical design, Timing, FW, SW teams to develop the feature - Signoff the Pre-silicon Design that meets all the functional, area and timing goals - Participate in post silicon lab bring-up and validation of the hardware - Lead a team of engineers, guide and mentor team members, represent as Logic Design Lead in global forums. Required education Bachelor's Degree Preferred education Doctorate Degree Required technical and professional expertise .12 or more years of demonstrated experience in architecting and designing specific CPU unit(eg. I-Cache, Instruction Fetch, Branch Prediction, Instruction Decode) - Hands on experience of different Branch Prediction techniques - Deep expertise in Out of Order, Super Scalar, Multi-Threaded Core Architecture and ISA - Experience with high frequency, instruction pipeline designs - At least 1 generation of Processor Core silicon bring up experience - In depth understanding of industry microprocessor designs (e.g., x86, ARM, or RISC-V processor designs) - Proficiency of RTL design with Verilog or VHDL - Knowledge of at least one object oriented or functional programming language and scripting language. - Nice to haves - Knowledge of instruction decode and handling pipeline hazards - Knowledge of verification principles and coverage - High-level knowledge of Linux operating system - Understanding of Agile development processes - Experience with DevOps design methodologies and tools Preferred technical and professional experience Hiring manager and Recruiter should collaborate to create the relevant verbiage.

Lead the architecture, design and development of a server class, high- performance Processor CPU for IBM Systems. - Architect and design Instruction caches, Branch Predictors, Issue queues, Register Renaming, Load Store Execution and other areas of the IBM processor CPU - Research novel instruction/data prefetching and branch prediction architectures. - Develop the features, present the proposed architecture in the High level design discussions - Estimate the overall effort to develop the feature. - Estimate silicon area and wire usage for the feature. - Develop micro-architecture, Design RTL, Collaborate with other Core units, Verification, DFT, Physical design, Timing, FW, SW teams to develop the feature - Signoff the Pre-silicon Design that meets all the functional, area and timing goals - Participate in post silicon lab bring-up and validation of the hardware - Lead a team of engineers, guide and mentor team members, represent as Logic Design Lead in global forums. Required education Bachelor's Degree Preferred education Doctorate Degree Required technical and professional expertise Expertise in Out of Order, Super Scalar, Multi-Threaded Core Architecture and ISA - Experience with high frequency, instruction pipeline designs - In depth understanding of industry microprocessor designs (e.g., x86, ARM, or RISC-V processor designs) - Proficiency of RTL design with Verilog or VHDL - Nice to haves - Knowledge of verification principles and coverage - High-level knowledge of Linux operating system - Knowledge of object oriented languages and scripting languages - Understanding of Agile development processes - Experience with DevOps design methodologies and tools

Associate Manager - Remote Sensing and Crop Modelling ICRISAT seeks applications from motivated and dynamic Indian nationals for the position of Associate Manager - Remote Sensing and Crop Modelling to be based at ICRISATs headquarters in Patancheru, Hyderabad, India. This role is critical to advancing the organization s mission of improving agricultural productivity and sustainability in semi-arid regions across Asia and sub-Saharan Africa through advanced remote sensing applications in agriculture. ICRISAT is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55 countries, the semi- arid or dryland tropics has over 2 billion people and 644 million of these are the poorest of the poor. ICRISAT and its partners help empower these disadvantaged populations to overcome poverty, hunger and a degraded environment through better agricultural production systems. ICRISAT is headquartered at Patancheru near Hyderabad, India, with two regional hubs and eight country offices in sub-Saharan Africa. ICRISAT envisions a prosperous, food-secure and resilient dryland tropics. Its mission is to reduce poverty, hunger, malnutrition and environmental degradation in the dryland tropics. ICRISAT conducts research on its mandate crops of chickpea, pigeonpea, groundnut, sorghum, pearl millet and finger millet in the arid and semi-arid tropics. The Institute focuses its work on the drylands and in protecting the environment. Tropical dryland areas are usually seen as resource-poor and perennially beset by shocks such as drought, thereby trapping dryland communities in poverty and hunger and making them dependent on external aid. Please visit - www.icrisat.org Geospatial Sciences and Big Data (GSBD) at ICRISAT: The GSBD team conducts cutting-edge research on monitoring croplands, natural resources, and geospatial analysis with a focus on ICRISAT s mandate crops (sorghum, pearl millet, groundnut, chickpea, pigeon pea). The team supports multi-disciplinary efforts to understand regional cropping patterns, changes, and disseminates technologies aimed at improving dryland agriculture. Responsibilities: Develop and implement methodologies for crop acreage estimation and crop type mapping using advanced remote sensing techniques. Conduct yield forecasting for ICRISAT mandate crops in Asia and Africa by integrating satellite data, field observations, and crop models. Monitor and assess crop health, stress, and growth stages using multi-temporal and multi-spectral satellite data. Collaborate with interdisciplinary teams to analyse cropping patterns, land use changes, and agricultural trends at regional and national scales. Process and analyse large datasets from cloud-based platforms (e.g., Google Earth Engine, Sentinel Hub) for agricultural applications. Support ground truthing and field survey campaigns to validate remote sensing analyses and improve model accuracy. Maintain and update geospatial databases of crop, soil, climate, and management data for agricultural monitoring and modelling. Contribute to the development of scalable tools and decision support systems for agricultural stakeholders. Publish research findings in peer-reviewed journals and present results at international conferences. Essential Qualifications: Master s in Agronomy and Geospatial Sciences, Environmental Modelling, Agriculture or a related field with a focus on remote sensing of agriculture. Demonstrated experience of atleast 8 years in crop acreage estimation, crop type mapping, and yield forecasting using remote sensing techniques. Proficiency in handling multi-temporal and multi-spectral satellite data (optical, microwave, hyperspectral). Strong expertise in using remote sensing software (e.g., ENVI, ERDAS, SNAP, Google Earth Engine) and GIS platforms (e.g., ESRI ArcGIS, QGIS). Proven ability to publish research outcomes in international journals and contribute to technical reports. Strong programming skills in R, Python, MATLAB, or similar tools for data analysis and automation. Experience in field survey design and ground data collection for remote sensing validation. Excellent written and spoken English, demonstrated through published research articles and technical reports. Desirable Qualifications: Experience in data assimilation from diverse sources (e.g., climate, soil, satellite, and socio-economic data). Familiarity with crop modelling packages such as APSIM, DSSAT, or empirical/semi-empirical models for yield estimation. Knowledge of advanced statistical analysis, including machine learning and artificial intelligence techniques for agricultural applications. Understanding of agricultural systems and the interplay between climate, soil, and management practices. Experience in developing decision support systems or tools for agricultural stakeholders. Skills in big data analytics and cloud computing platforms (e.g., AWS, Microsoft Azure). Demonstrated innovation in estimating crop acreage, mapping crop types, and developing scalable solutions for agricultural monitoring. Strong analytical and logical thinking abilities, with a proactive approach to problem-solving. General: This is a contractual role for a period of 36 months (3 years), renewable based on the performance funding availability and the institute s continuing need for the position. How to apply: The position will remain open until a suitable candidate is identified. Shortlisting will start from 16 July 2025. All Applicants should apply with their latest Resume, and the names and contact information of three references that are knowledgeable about their professional qualifications and work experience. All applications will be acknowledged; however, only short-listed candidates will be contacted. ICRISAT is an equal opportunity employer and is committed to increasing diversity and maintaining a progressive and inclusive workplace. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status or whether they have a disability.

To support Braking system -ECU development activity as per project milestones taking cost and quality into consideration. To check and study VDC ECU of CAN planning architecture / Circuit check /switch and indicator/ Electrical performance Spec. for conventional and ADAS feature vehicle ECU details and its change content. Vehicle ABS VDC -ECU Knowledge / Infotainment and CAN related software (CANALYZER, CANAPE) Bench test experience will be added advantage. Matlab Simulation Job Family Research & Development Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form. In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. We re trying to optimize shopping experience for Amazon s Customers in the Physical retail space. This role will be a key member of the core Analytics team located in Hyderabad. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business group strategy is a must. Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations. Develop metrics that helps support product category growth and expansion plans Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience in Statistical Analysis packages such as R, SAS and Matlab Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Location: Bengaluru, Karnataka Experience: Minimum 3 Years of EdTech/IT/Corporate/Institutions Qualification: BE, BTECH, ME, MTECH, MCA (Any Degree) Shift Timing: 9:00 am to 6:00 pm (Mon to Fri) 9:00 am to 1:00 pm ( Sat) Skills & Requirements: Knowledge of academic operations and institutions, placement process. The candidate should have good interpersonal skills and networking in the market. Excellent communication skills verbal and writing for delivering the trainings or sessions to students. Multi-tier architecture knowledge. Excellent self-management skills (prioritizing the task). Desire to understand the business and committed to quality and timely deliverable. Excellent training experience highly preferred in Embedded C, Microcontroller, Arm, Automotive. Roles & Responsibilities: Provide training to Graduate Engineers, Working professionals, corporate freshers & Laterals. Corporate Training: Understand the requirements from client and deliver training as per the corporate client’s requirements. Conduct college Workshop Trainings. Knowledge of Content Development, Technical Assessment, Evaluation, and Project development. Have good command on programming with C, C++, Linux operating systems, Shell scripting, ARM, MATLAB, Embedded system software etc. Should have detailed knowledge and experience on microcontrollers (ARM7TDMI, TM32/CORTEX). Strong debugging skills Strong communication and interpersonal skills. Must be a self-starter. Expert in programming Embedded C/C++ applications with strong background in C/C++ macros, structures, templates and pointers, class, inheritance. Strong knowledge and training experience in embedded C and RTOS Strong in OS concepts like efficient multi-threading and resource-sharing. In depth knowledge on protocols like (RS485, SPI, I2C, ADCs, PWM, CAN) Good Exposure to Embedded development tools/IDE (KEIL/IAR/STMCube) Expertise in handling multiple inhouse and corporate trainings with proven track record and quality delivery. Experienced in course content development based on the training requirements. Experience in developing Hands-on projects and hand-holding large groups of students simultaneously. Working experiences on embedded systems project development Knowledge on Hardware’s Experienced in all phases of product life cycle including requirements, design, coding. Managing all aspects of the training cycle i.e. Training need analysis, course development, implementation and delivery, monitoring and evaluation coordinate with project members and provide timely feedback Manage the work of developer, mentoring and assisting as and when required. Job Type: Full-time Job Type: Full-time Pay: ₹40,000.00 - ₹65,000.00 per month Schedule: Day shift Education: Bachelor's (Preferred) Experience: Embedded Trainer: 3 years (Preferred) Language: English (Preferred) Work Location: In person

Job Summary: This entry level/early career professional, product focused position tailors electronic and electrical systems for Cummins products. People in these positions will translate product requirements into hardware and software technical requirements that control the operation of Cummins products in a variety of customer applications. Additionally, there is responsibility to configure (tune), and complete comprehensive validation testing of the fully integrated hardware and software systems. Key Responsibilities: Investigates electronic application and systems problems, understands causal mechanisms, recommends appropriate action, owns problem resolution and documents results with guidance from more experienced team members. Applies and supports the improvement of electronic application and systems development processes and tools. Processes include system specification, modeling and simulation, calibration, Design Verification Plan and Report (DVP&R), and troubleshooting. Application of tools for simulation, calibration, and product life maintenance required. Obtains input from customers, technical and product teams, manufacturing engineers, supplier partners, and other stakeholders to deliver information and recommendations that lead to quality product decisions. Makes decisions in the areas of electronic and electrical system design, requirements, calibration, and test that impact the quality and performance of individual calibrated features and/or components. Owns problem resolution for moderately complex components, products, systems, subsystems or services with technical complexity and ambiguity increasing as experience is gained in the role. Provides independent execution of established work processes and systems, while still developing technology or product knowledge; engages with the improvement of systems and processes. Involves no direct management of people but could involve the coordination and direction of work amongst technicians and/or temporary student employees. Contributes effectively toward team goals, exhibits influence within a work group and continues to develop proficiency in the competency areas critical to success in the role. External Qualifications and Competencies Competencies: Design and Application of Mechatronics Systems - Specifies electronic hardware and interconnections that measure and control systems; applies electronic hardware and interconnections in Cummins' products. Machine Integration and Optimization - Combines various parts or sub-systems into a whole to achieve the output most desired by the customer; applies Cummins' installation requirements using our standard tools, processes and identified best practices to ensure optimization of performance, reliability, cost and quality; analyzes technical issues using proven problem-solving and troubleshooting techniques for rapid resolution. Product Failure Mode Avoidance - Mitigates potential product failure modes, by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of Cummins products. Product Function Modeling, Simulation and Analysis - Impacts product design decisions through the utilization and/or interpretation of computational tools and methods that predict the capability of a product's function relative to its system, sub-system and/or component level requirements. Product Problem Solving - Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; andidentifies the systemic root causes and recommended actions to prevent problem reoccurrence. Product Verification and Validation Management - Develops product systems validation plans from a variety of inputs to identify failure modes, while managing product risk and relative priority; negotiates product requirements against capability to guide project scope; evaluates analytical, simulation and physical test results to verify product capability and validate requirements; assesses legacy versus proposed system solution capabilities and produces recommendations with technical documentation to support product decisions. System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts. Systems Thinking - Defines the system of interest by drawing the boundaries, identifying its context within its environment, its interfaces, and that it has a lifecycle to aid in planning the problem statement, scope and deliverables; analyzes linkages and interactions between elements that comprise the system of interest by using appropriate methods, models and integration of outcomes to understand the system, predict its behavior and devise modifications to it in order to produce the desired effects. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Decision quality - Making good and timely decisions that keep the organization moving forward. Drives results - Consistently achieving results, even under tough circumstances. Self-development - Actively seeking new ways to grow and be challenged using both formal and informal development channels. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference (population and sample, confidence intervals, and hypothesis testing); models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions. Cross-Functional Design Integration - Translates the value package requirements that include the voices of many stakeholders into virtual designs, and communicates the capability of the design through an approved cross-functional design review. Technical Documentation - Documents information based on knowledge gained as part of technical function activities; communicates to stakeholders with the goal of enabling improved technical productivity and effective knowledge transfer to others who were not originally part of the initial learning. Product Development Execution, Monitoring and Control - Plans, schedules, coordinates and executes the activities involved in developing a product to a respectively aligned hierarchy of requirements and technical profiles; monitors and communicates across functional boundaries to meet project resource and quality expectations; ensures product capability meets or exceeds expectations and takes mitigating actions when project risks are higher than expected; understands the full product life cycle process and stakeholders. Design and Application of Open/Closed Loop Controls - Specifies software features that interact with mechanical, hydraulic, chemical and electronic systems to deliver desired system states;specifies control system architectures which include appropriate measurements, correct actuation, and algorithms for Cummins' products; configures and/or understands open/closed loop feedback controls features and the system interactions between hardware and software in Cummins' products. Education, Licenses, Certifications: College, university, or equivalent Bachelor's degree in Engineering or appropriate STEM field is required. Post-graduate (Master's) degree relevant to this discipline area may be required for select roles. This position may require licensing for compliance with export controls or sanctions regulations. Experience: Entry level/Early career professional. Preferred candidates would have relevant experience working in either a temporary student employment environment (intern, co-op, or other extracurricular team activities) or as an early career professional in a relevant technical discipline area. Knowledge of MS Office tools is also preferred Additional Responsibilities Unique to this Position Core Responsibilities: Experience with Manual and SIL testing to test proto and production intend software/calibration on test bench both open and closed loop Document and analyze test results. Submit change request or defects to software development team. Automate Regression test procedures through SIL/Puresim/NI Teststand Diagnose bench and software issues. Skills Required : Candidate should at least have bachelor's degree in electrical/ electronic/ mechatronics with relevant work experience Ability to read and understand Simulink models Prior experience of working cross-functionally across geographies is preferred Good team player and communication skills (upwards and downwards) Tools expected to be used in this role: Matlab/Simulink, PCAN explorer, CANalyzer, ECM communication/diagnose tools.

This product-focused position tailors electronic and electrical systems for Cummins products. The role involves translating product requirements into hardware and software specifications, tuning configurations, and completing comprehensive validation testing of integrated hardware and software systems. This position demands strong collaboration across teams and geographies, and ownership of complex project aspects. Core Responsibilities: Support Controls New Product Development (NPD) - Base engine selection, Sensor selection, Communication Protocol, Controller selection, etc Software/Calibration bench testing & DVP&R validation- support failure analysis, iDFMEA, Cyber Security (ISO21434) assessments, Functional Safety Assessment-ISO26262 Tune and Integrate Engine Calibration by working cross-functionally and leveraging open and closed loop controls tuning practices. Some features (but not limited to) include All Speed Governor tuning, Accelerator Based Torque Control tuning, Sensor and Diagnostics Tuning, Datalinks etc. Wiring harness understanding for electronics engine as per architecture and ECM IO matrix. Guiding Design and drafting team for harness development. Test cell support for engine development and diagnosis; Occasional in-field support for Software and Calibration Skills Required : Candidate should at least have bachelor's degree in electrical/electronic/mechatronics with relevant work experience Good system knowledge of electronics and emissionized engines (with after-treatment systems) is a must User level experience in using embedded software and tools Prior experience of working cross-functionally across geographies is preferred Prior experience with system verification and validation (HIL/SIL) is preferred Good team player and communication skills (upwards and downwards) Tools expected to be used in this role: Calterm, Matlab/Simulink, PCAN explorer, Insite, Power match, RDE; CDM/ CDAT, Integrity, C2ST External Qualifications and Competencies Experience : Previous experience at a Senior or Lead Engineer level in a relevant discipline is required. Demonstrated technical problem-solving skills and quality decision-making abilities are essential. Familiarity with MS Office tools preferred. Core Competencies : Design and Application of Mechatronics Systems : Specify and apply electronic hardware and interconnections for control systems. Machine Integration and Optimization : Integrate sub-systems for optimal performance, using Cummins' standards for reliability and quality. Product Function Modeling, Simulation, and Analysis : Use computational tools to predict product capability at system, sub-system, and component levels. Product Problem Solving : Protect customers by implementing robust, data-based solutions to prevent problem recurrence. Product Verification and Validation Management : Develop system validation plans to manage product risk, evaluate test results, and ensure product capability. System Requirements Engineering : Translate stakeholder needs into requirements, maintain them throughout the lifecycle, and assess impact on resources. Systems Thinking : Analyze system interactions to predict and modify behavior for desired outcomes. Builds Networks : Develops productive formal and informal relationships inside and outside the organization. Communicates Effectively : Adapts communication to various audiences needs. Decision Quality : Makes sound, timely decisions. Drives Results : Consistently achieves goals, even in challenging situations. Manages Complexity : Efficiently interprets and solves complex issues. Resourcefulness : Efficiently deploys resources. Values Differences : Appreciates diverse perspectives and cultures. Additional Responsibilities Unique to this Position Qualification : Bachelors degree in Engineering or an equivalent STEM field required. A Masters degree may be necessary for select roles.

Job Summary: This entry level/early career professional, applied science position utilizes the core competencies of thermal and fluid sciences, using and advancing analytical and experimental approaches to answer key questions about the performance and architecture of a system or component. This drives decisions and creates technical content which ultimately leads to state of the art, highly effective, environmentally friendly, and competitive products. Key Responsibilities: Investigates product, system, and/or technology problems that are related to thermal and fluid sciences, understands causal mechanisms, recommends appropriate action, owns problem resolution and documents results with guidance from more experienced team members. Applies and supports the improvement of processes such as Pre Program Planning, (PPP), Product Preceding Technology, (PPT), Value Package Introduction (VPI), or Value Package Change, (VPC), Engineering Standard Work, (ESW), Functional Excellence Practice (FEP) and tools related to thermal and fluid sciences such as GT-Suite, Boost, Fluent, Converge, Concerto, CyberApps (virtual application model), Cummins Data Analysis Tool (CDAT), Mach, test data calculation, DARTS, test data storage, Calterm, Electronic Control Module (ECM) calibration tool, Emissions data system, Integrity, and ACCEPTS ECM in-loop test bench required to support the processes and enable high quality decision making. Obtains input and negotiates with immediate stakeholders, such as team members, technical managers, project leaders, other Thermal Sciences engineers, product and manufacturing engineers, and supplier partners and delivers information and recommendations to support project decisions, or to provide input related to further analysis, design optimization, feasibility studies, or architecture definition. Makes decisions in the areas of day to day project details, such as conducting analysis, testing, and communication with stakeholders that impact and support the successful progression of projects. Owns problem resolution for moderately complex components, products, systems, subsystems or services with technical complexity and ambiguity increasing as experience is gained in the role. Provides independent execution of established work processes and systems, while still developing technology or product knowledge; engages with the improvement of systems and processes. Involves minimal direct management of people, but could involve the coordination and direction of work amongst technicians and/or temporary student employees. Contributes effectively toward team goals, exhibits influence within a work group and continues to develop proficiency in the competency areas critical to success in the role. External Qualifications and Competencies Competencies: Applies Principles of Fluid Dynamics and Heat Transfer - Interprets and predicts the performance of fluid and thermal systems by leveraging a quantitative and intuitive comprehension of the flow of liquids and gases, the transfer of thermal energy between elements of a system, and the application of modeling and experimental tools, to answer key questions about the system or component. Applies Principles of Thermodynamics and Energy Conversion Systems - Interprets and predicts the performance of energy conversion systems such as IC engines, gas turbines, fuel cells, and batteries, by leveraging a quantitative and intuitive comprehension of thermodynamics, fluid mechanics, modeling tools, controls, and experimental tools to answer key questions about the system or component. Product Failure Mode Avoidance - Mitigates potential product failure modes, by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of Cummins products. Product Function Modeling, Simulation and Analysis - Impacts product design decisions through the utilization and/or interpretation of computational tools and methods that predict the capability of a product's function relative to its system, sub-system and/or component level requirements. Product Problem Solving - Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; and identifies the systemic root causes and recommended actions to prevent problem reoccurrence. System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts. Systems Thinking - Defines the system of interest by drawing the boundaries, identifying its context within its environment, its interfaces, and that it has a lifecycle to aid in planning the problem statement, scope and deliverables ; analyzes linkages and interactions between elements that comprise the system of interest by using appropriate methods, models and integration of outcomes to understand the system, predict its behavior and devise modifications to it in order to produce the desired effects. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Decision quality - Making good and timely decisions that keep the organization moving forward. Drives results - Consistently achieving results, even under tough circumstances. Self-development - Actively seeking new ways to grow and be challenged using both formal and informal development channels. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference (population and sample, confidence intervals, and hypothesis testing); models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions. Technical Documentation - Documents information based on knowledge gained as part of technical function activities; communicates to stakeholders with the goal of enabling improved technical productivity and effective knowledge transfer to others who were not originally part of the initial learning. Product Development Execution, Monitoring and Control - Plans, schedules, coordinates and executes the activities involved in developing a product to a respectively aligned hierarchy of requirements and technical profiles; monitors and communicates across functional boundaries to meet project resource and quality expectations; ensures product capability meets or exceeds expectations and takes mitigating actions when project risks are higher than expected; understands the full product life cycle process and stakeholders. Design and Application of Open/Closed Loop Controls - Specifies software features that interact with mechanical, hydraulic, chemical and electronic systems to deliver desired system states; specifies control system architectures which include appropriate measurements, correct actuation, and algorithms for Cummins' products; configures and/or understands open/closed loop feedback controls features and the system interactions between hardware and software in Cummins' products. Education, Licenses, Certifications: College, university, or equivalent Bachelor's degree in Engineering or appropriate STEM field is required. Post-graduate (Master's) degree relevant to this discipline area may be required for select roles. This position may require licensing for compliance with export controls or sanctions regulations. Experience: Entry level/Early career professional. Preferred candidates would have relevant experience working in either a temporary student employment environment (intern, co-op, or other extracurricular team activities) or as an early career professional in a relevant technical discipline area. Knowledge of MS Office tools is also preferred Additional Responsibilities Unique to this Position Tool and Function Skills : knowledge of Engine, Aftertreatment or System simulation using either GT, AVL boost or Cruise M, Matlab/Simulink. Communication Skills : Must have good communication skills with internal and external stakeholders. Preferred Skills : Knowledge of internal combustion engine and emissions science principles. Knowledge of Engine/ Aftertreatment system and system simulation models Knowledge or working level experience with model-based development using Simulink is preferred. Awareness of Emission test cycle/ testcell data and field data analysis. Proficiency in fluid dynamics, heat transfer, and thermodynamics. Experience : Experience with 1-D systems simulations and tuning. Prior equivalent engineering work experience in a relevant discipline area with a demonstrated track record of technical problem solving and quality decision making.

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Fabricate superconducting-qubit devices on silicon wafers using optical & e-beam lithography, thin-film deposition (sputtering / evaporation) and dry / wet etching, driving first-pass yield improvements. Perform room-temperature & cryogenic characterisation (SEM, AFM, XRD, conductivity) and translate findings into rapid process tweaks. Develop and execute design-of-experiments (DoE) and test plans that boost parameter reproducibility across lots. Maintain best-in-class cleanroom safety & chemical-handling protocols, ensuring operational uptime and compliance. Analyse data in Python / MATLAB, author concise reports and collaborate with processor, theory and cryo-control teams to iterate device architecture. Champion a culture of continuous improvement, peer reviews and knowledge-sharing within the quantum-hardware programme. Skills & Qualifications Must-Have MSc/MTech/PhD in Electronics, Micro-/Nano-electronics, Materials Science or similar, plus 1–3 years’ cleanroom experience developing silicon-based devices. Hands-on expertise with optical / EBL lithography, thin-film deposition, wet & dry etching and related metrology tools (SEM, AFM, XRD). Familiarity with dielectric deposition processes (PECVD, oxidation, LPCVD). Solid grasp of cleanroom chemical safety, defect prevention and statistical process control. Proven ability to draft DoE-based analysis reports and work cross-functionally to refine fabrication flows. Excellent problem-solving, communication and teamwork skills; thrive in a fast-paced R&D setting. Preferred Experience fabricating or characterising Josephson-junction devices for superconducting qubits. Knowledge of cryogenic measurement techniques and qubit-level performance metrics (T₁/T₂, gate fidelity). Exposure to process-automation scripts, yield dashboards or GPU-accelerated simulators for device modelling. Publications or patents in quantum-hardware fabrication / characterisation, or contributions to open-source nanofab tooling. Familiarity with ISO14644 cleanroom standards and SPC software (e.g., JMP, Minitab) for data-driven process control. Skills: dry etching,optical lithography,qubit-control schemes,gate fidelity measurement,data processing in matlab,quantum-state & process tomography,e-beam lithography,numerical tool-chains,ldpc codes,quantum-state tomography,afm,automated data acquisition,surface codes,matlab,hamiltonian engineering,teamwork,communication,quantum device characterization,quantum error-correction codes,thin-film deposition,coherence times measurement,data processing in python,circuit qed,quantum-software stacks,collaboration,superconducting-qubit error-correction schemes,dynamical decoupling,cleanroom safety,error-correction concepts,xrd,process-automation scripts,peer-reviewed publications,error-mitigation techniques,sem,python-based quantum platforms,wet etching,quantum-process tomography,semiconductor,artificial intelligence,experimental protocols,statistical process control,cryogenic fixture design,fault-tolerant architectures,python,computational modelling of quantum circuits,quantum computing,problem-solving,numerical methods

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Design and simulate novel superconducting-qubit circuits that will power India’s most powerful production quantum computer. Apply deep RF / microwave theory to optimise resonance, coupling and loss in on-chip cavities and interconnects. Drive multi-physics modelling in HFSS, Sonnet, COMSOL and ADS, validating results with cryogenic measurements. Collaborate with fabrication, control-electronics and theory teams to iterate processor architecture and tape-out flows. Analyse qubit-level metrics, author concise DoE reports and present design recommendations to leadership. Champion best practices in simulation automation, version control and peer design reviews within an agile R&D setup. Skills & Qualifications Must-Have Master’s or PhD in Physics, Electronics or Communication Engineering plus 2 + years’ experience designing superconducting qubits. Proven expertise in qubit-level circuit design, RF/microwave theory and superconducting-device analysis. Hands-on with HFSS, Sonnet, COMSOL and ADS for 3-D EM and multi-tone simulations. Familiarity with Linux environments and scripting (TCL / Python) to automate simulation and data-processing pipelines. Strong problem-solving and communication skills; thrive in cross-functional hardware teams. Team-player mentality with a bias for rapid experimentation and data-driven design iteration. Preferred Experience in RF or mixed-signal PCB design for cryogenic or microwave subsystems. Prior work characterising or simulating Josephson-junction devices and qubit coherence limits. Ability to interpret RF component datasheets and translate specs into layout constraints. Familiarity with yield-optimisation techniques and SPC dashboards for nanofabrication flows. Publications or patents in quantum-hardware design or superconducting circuits. Contributions to open-source EM simulation or quantum-design toolchains. Skills: numerical tool-chains,comsol,problem-solving,coherence times measurement,statistical process control,cleanroom safety,superconducting-qubit error-correction schemes,gate fidelity measurement,ldpc codes,numerical methods,quantum-software stacks,circuit design,peer-reviewed publications,semiconductor,experimental protocols,data processing in matlab,matlab,dry etching,collaboration,quantum computing,data-driven design,automated data acquisition,quantum-state & process tomography,afm,qubit-control schemes,dynamical decoupling,artificial intelligence,optical lithography,python-based quantum platforms,quantum error-correction codes,hfss,thin-film deposition,rf/microwave theory,process-automation scripts,quantum device characterization,sem,wet etching,cryogenic fixture design,communication,quantum-process tomography,computational modelling of quantum circuits,superconducting qubit design,error-correction concepts,tcl,circuit qed,linux,hamiltonian engineering,teamwork,sonnet,team collaboration,quantum hardware,ads,error-mitigation techniques,fault-tolerant architectures,python,quantum-state tomography,e-beam lithography,data processing in python,surface codes,xrd

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Architect fully fault-tolerant, scalable quantum processors by crafting blueprints and error-correction strategies for next-generation devices, including patentable IP. Design, simulate and benchmark surface, LDPC and bosonic codes on noise-biased hardware; iterate solutions with cryo-control and fabrication teams. Build numerical tool-chains in Python/QuTiP/Qiskit to model error propagation, mitigation and gate-fidelity limits, delivering data-driven design insights. Prototype dynamical-decoupling and error-mitigation schemes that extend coherence and enable bias-preserving logical gates. Publish peer-reviewed papers, file patents and author internal DoE reports that steer roadmap and funding decisions. Champion rigorous peer reviews, mentor junior researchers and foster cross-functional knowledge-sharing. Skills & Qualifications Must-Have PhD/MS in Physics, Mathematics, Computer Science or allied field with a quantum focus. 3 + years designing quantum error-correction codes (surface, LDPC) and fault-tolerant architectures. Proficiency in Python, MATLAB and quantum-software stacks for large-scale simulations and data analysis. Hands-on experience with dynamical decoupling/error-mitigation techniques on experimental platforms. Strong record of peer-reviewed publications and successful research projects. Excellent problem-solving, communication and collaborative skills. Preferred Familiarity with noise-biased bosonic codes and autonomous error-correction methods. Experience writing DoE and experimental-improvement reports to guide hardware trials. Background in cryogenic control electronics, RF instrumentation or superconducting-qubit fabrication. Proven patent filings or open-source contributions in quantum technology. Exposure to GPU-accelerated simulators or distributed-computing workflows for quantum modelling. Engagement with industry consortia or standards bodies advancing quantum-error-correction research Skills: numerical tool-chains,qubit-control schemes,artificial intelligence,dynamical decoupling,python-based quantum platforms,quantum error-correction codes,problem-solving,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,ldpc codes,numerical methods,communication,quantum-software stacks,circuit qed,peer-reviewed publications,semiconductor,hamiltonian engineering,experimental protocols,collaboration,matlab,error-mitigation techniques,fault-tolerant architectures,quantum computing,python,surface codes,quantum-state & process tomography

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Architect fully fault-tolerant, scalable quantum processors by crafting blueprints and error-correction strategies for next-generation devices, including patentable IP. Design, simulate and benchmark surface, LDPC and bosonic codes on noise-biased hardware; iterate solutions with cryo-control and fabrication teams. Build numerical tool-chains in Python/QuTiP/Qiskit to model error propagation, mitigation and gate-fidelity limits, delivering data-driven design insights. Prototype dynamical-decoupling and error-mitigation schemes that extend coherence and enable bias-preserving logical gates. Publish peer-reviewed papers, file patents and author internal DoE reports that steer roadmap and funding decisions. Champion rigorous peer reviews, mentor junior researchers and foster cross-functional knowledge-sharing. Skills & Qualifications Must-Have PhD/MS in Physics, Mathematics, Computer Science or allied field with a quantum focus. 3 + years designing quantum error-correction codes (surface, LDPC) and fault-tolerant architectures. Proficiency in Python, MATLAB and quantum-software stacks for large-scale simulations and data analysis. Hands-on experience with dynamical decoupling/error-mitigation techniques on experimental platforms. Strong record of peer-reviewed publications and successful research projects. Excellent problem-solving, communication and collaborative skills. Preferred Familiarity with noise-biased bosonic codes and autonomous error-correction methods. Experience writing DoE and experimental-improvement reports to guide hardware trials. Background in cryogenic control electronics, RF instrumentation or superconducting-qubit fabrication. Proven patent filings or open-source contributions in quantum technology. Exposure to GPU-accelerated simulators or distributed-computing workflows for quantum modelling. Engagement with industry consortia or standards bodies advancing quantum-error-correction research Skills: numerical tool-chains,qubit-control schemes,artificial intelligence,dynamical decoupling,python-based quantum platforms,quantum error-correction codes,problem-solving,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,ldpc codes,numerical methods,communication,quantum-software stacks,circuit qed,peer-reviewed publications,semiconductor,hamiltonian engineering,experimental protocols,collaboration,matlab,error-mitigation techniques,fault-tolerant architectures,quantum computing,python,surface codes,quantum-state & process tomography

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Design and simulate novel superconducting-qubit circuits that will power India’s most powerful production quantum computer. Apply deep RF / microwave theory to optimise resonance, coupling and loss in on-chip cavities and interconnects. Drive multi-physics modelling in HFSS, Sonnet, COMSOL and ADS, validating results with cryogenic measurements. Collaborate with fabrication, control-electronics and theory teams to iterate processor architecture and tape-out flows. Analyse qubit-level metrics, author concise DoE reports and present design recommendations to leadership. Champion best practices in simulation automation, version control and peer design reviews within an agile R&D setup. Skills & Qualifications Must-Have Master’s or PhD in Physics, Electronics or Communication Engineering plus 2 + years’ experience designing superconducting qubits. Proven expertise in qubit-level circuit design, RF/microwave theory and superconducting-device analysis. Hands-on with HFSS, Sonnet, COMSOL and ADS for 3-D EM and multi-tone simulations. Familiarity with Linux environments and scripting (TCL / Python) to automate simulation and data-processing pipelines. Strong problem-solving and communication skills; thrive in cross-functional hardware teams. Team-player mentality with a bias for rapid experimentation and data-driven design iteration. Preferred Experience in RF or mixed-signal PCB design for cryogenic or microwave subsystems. Prior work characterising or simulating Josephson-junction devices and qubit coherence limits. Ability to interpret RF component datasheets and translate specs into layout constraints. Familiarity with yield-optimisation techniques and SPC dashboards for nanofabrication flows. Publications or patents in quantum-hardware design or superconducting circuits. Contributions to open-source EM simulation or quantum-design toolchains. Skills: numerical tool-chains,comsol,problem-solving,coherence times measurement,statistical process control,cleanroom safety,superconducting-qubit error-correction schemes,gate fidelity measurement,ldpc codes,numerical methods,quantum-software stacks,circuit design,peer-reviewed publications,semiconductor,experimental protocols,data processing in matlab,matlab,dry etching,collaboration,quantum computing,data-driven design,automated data acquisition,quantum-state & process tomography,afm,qubit-control schemes,dynamical decoupling,artificial intelligence,optical lithography,python-based quantum platforms,quantum error-correction codes,hfss,thin-film deposition,rf/microwave theory,process-automation scripts,quantum device characterization,sem,wet etching,cryogenic fixture design,communication,quantum-process tomography,computational modelling of quantum circuits,superconducting qubit design,error-correction concepts,tcl,circuit qed,linux,hamiltonian engineering,teamwork,sonnet,team collaboration,quantum hardware,ads,error-mitigation techniques,fault-tolerant architectures,python,quantum-state tomography,e-beam lithography,data processing in python,surface codes,xrd

What We Offer At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Group Summary Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain. Job Responsibilities Job title: Power Electronics Control Engineer Job Introduction We are seeking a highly skilled Motor Control Engineer with expertise in the development, implementation, and optimization of senseless control algorithms for AC motors. The ideal candidate will have a deep understanding of motor control theory, electrical drives, power electronics, and experience with various types of AC motors such as induction motors, permanent magnet synchronous motors (PMSMs), and brushless DC motors (BLDCs). Major Responsibilities Design, develop, and implement sensor less control algorithms for AC motors (PMSM and Induction motors) in embedded systems. Optimize motor performance and efficiency through advanced control techniques (e.g., Field-Oriented Control (FOC), Direct Torque Control (DTC), etc.). Simulate, test, and validate control algorithms in MATLAB/Simulink, and hardware-in-the-loop (HIL) environments. Integrate sensorless control systems into real-time embedded systems for automotive applications. Collaborate with cross-functional teams (power electronics, hardware design, firmware, and testing) to achieve project objectives. Troubleshoot and resolve performance issues related to motor control systems. Develop technical documentation, including requirements specifications, algorithm designs, and validation reports. Stay updated on the latest industry trends, tools, and technologies related to motor control and power electronics. Should have good understanding of fundamentals of analog and digital electronics circuit design. Experience in using basic test equipment like Oscilloscopes, Power meters, electronic loads etc. Close cooperation with the electronics, design, HW test team Manages communication and alignment with all affected stakeholders Knowledge And Education PhD or Master’s degree in Power Electronics or Control Systems, or a related field. Work Experience 5+ years of experience in motor control design with a focus on sensor less control algorithms for AC motors. Skills And Competencies Proficiency in motor control theory, especially for AC motors (Induction motors and PMSM). Strong expertise in motor control techniques such as model-based estimators, sliding mode observers. Solid understanding of Field-Oriented Control (FOC) and Direct Torque Control (DTC) methods. Proficient in MATLAB/Simulink for modelling and simulation. Hands-on experience with power electronics, including inverters and converters for motor drives. Strong problem-solving skills and ability to work independently or in a team. Experience in the automotive sector desirable Conscientious, precise and independent way of working Very good written and spoken English skills Awareness, Unity, Empowerment At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. Worker Type Regular / Permanent Group Magna Powertrain

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Fabricate superconducting-qubit devices on silicon wafers using optical & e-beam lithography, thin-film deposition (sputtering / evaporation) and dry / wet etching, driving first-pass yield improvements. Perform room-temperature & cryogenic characterisation (SEM, AFM, XRD, conductivity) and translate findings into rapid process tweaks. Develop and execute design-of-experiments (DoE) and test plans that boost parameter reproducibility across lots. Maintain best-in-class cleanroom safety & chemical-handling protocols, ensuring operational uptime and compliance. Analyse data in Python / MATLAB, author concise reports and collaborate with processor, theory and cryo-control teams to iterate device architecture. Champion a culture of continuous improvement, peer reviews and knowledge-sharing within the quantum-hardware programme. Skills & Qualifications Must-Have MSc/MTech/PhD in Electronics, Micro-/Nano-electronics, Materials Science or similar, plus 1–3 years’ cleanroom experience developing silicon-based devices. Hands-on expertise with optical / EBL lithography, thin-film deposition, wet & dry etching and related metrology tools (SEM, AFM, XRD). Familiarity with dielectric deposition processes (PECVD, oxidation, LPCVD). Solid grasp of cleanroom chemical safety, defect prevention and statistical process control. Proven ability to draft DoE-based analysis reports and work cross-functionally to refine fabrication flows. Excellent problem-solving, communication and teamwork skills; thrive in a fast-paced R&D setting. Preferred Experience fabricating or characterising Josephson-junction devices for superconducting qubits. Knowledge of cryogenic measurement techniques and qubit-level performance metrics (T₁/T₂, gate fidelity). Exposure to process-automation scripts, yield dashboards or GPU-accelerated simulators for device modelling. Publications or patents in quantum-hardware fabrication / characterisation, or contributions to open-source nanofab tooling. Familiarity with ISO14644 cleanroom standards and SPC software (e.g., JMP, Minitab) for data-driven process control. Skills: dry etching,optical lithography,qubit-control schemes,gate fidelity measurement,data processing in matlab,quantum-state & process tomography,e-beam lithography,numerical tool-chains,ldpc codes,quantum-state tomography,afm,automated data acquisition,surface codes,matlab,hamiltonian engineering,teamwork,communication,quantum device characterization,quantum error-correction codes,thin-film deposition,coherence times measurement,data processing in python,circuit qed,quantum-software stacks,collaboration,superconducting-qubit error-correction schemes,dynamical decoupling,cleanroom safety,error-correction concepts,xrd,process-automation scripts,peer-reviewed publications,error-mitigation techniques,sem,python-based quantum platforms,wet etching,quantum-process tomography,semiconductor,artificial intelligence,experimental protocols,statistical process control,cryogenic fixture design,fault-tolerant architectures,python,computational modelling of quantum circuits,quantum computing,problem-solving,numerical methods

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Design and execute quantum-device experiments—from cryogenic fixture design to automated data acquisition—for superconducting-qubit characterisation. Develop and refine protocols to measure coherence times, gate fidelities, and perform quantum-state / process tomography, feeding results back into device design. Maintain, troubleshoot and optimise cryogenic measurement stacks and microwave-RF chains to guarantee low-noise, high-throughput data collection. Implement data pipelines in Python / MATLAB that process raw traces into actionable metrics and dashboards for cross-functional teams. Collaborate with quantum-processor, control-electronics and theory groups to correlate empirical results with simulations and accelerate design-of-experiments cycles. Document methodologies, publish findings and help shape the roadmap for next-generation, fault-tolerant quantum processors. Skills & Qualifications Must-Have MSc / MTech / PhD in Physics, Electrical Engineering, Materials Science or related field with quantum focus. Hands-on experience designing cryogenic or microwave testbeds and performing quantum measurements on superconducting qubits or similar platforms. Proven ability to measure and analyse device parameters (T₁/T₂, gate fidelity, tomography). Solid understanding of circuit QED and error-correction concepts relevant to superconducting hardware. Proficiency in Python (NumPy/Pandas/Matplotlib) or MATLAB for data analysis and instrument control. Strong problem-solving, communication and teamwork skills; comfortable in fast-paced R&D settings. Preferred Track record of peer-reviewed publications or conference presentations in quantum technology. Experience writing DoE-driven analysis reports that steer experimentation plans. Familiarity with cold-atom or spin-qubit platforms, autonomous calibration routines, or GPU-accelerated simulators. Knowledge of error-mitigation / bosonic-code techniques and their experimental implementation. Exposure to clean-room fabrication workflows and materials studies for superconducting devices. Contributions to open-source quantum-measurement tooling or instrument-control libraries. Skills: hamiltonian engineering,coherence times measurement,quantum-state tomography,ldpc codes,surface codes,gate fidelity measurement,python-based quantum platforms,circuit qed,automated data acquisition,numerical tool-chains,fault-tolerant architectures,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,data processing in matlab,quantum device characterization,problem-solving,experimental protocols,matlab,error-mitigation techniques,quantum-software stacks,cryogenic fixture design,collaboration,quantum computing,artificial intelligence,data processing in python,quantum error-correction codes,quantum-process tomography,teamwork,python,error-correction concepts,quantum-state & process tomography,communication,qubit-control schemes,semiconductor,peer-reviewed publications,dynamical decoupling,numerical methods

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Design and execute quantum-device experiments—from cryogenic fixture design to automated data acquisition—for superconducting-qubit characterisation. Develop and refine protocols to measure coherence times, gate fidelities, and perform quantum-state / process tomography, feeding results back into device design. Maintain, troubleshoot and optimise cryogenic measurement stacks and microwave-RF chains to guarantee low-noise, high-throughput data collection. Implement data pipelines in Python / MATLAB that process raw traces into actionable metrics and dashboards for cross-functional teams. Collaborate with quantum-processor, control-electronics and theory groups to correlate empirical results with simulations and accelerate design-of-experiments cycles. Document methodologies, publish findings and help shape the roadmap for next-generation, fault-tolerant quantum processors. Skills & Qualifications Must-Have MSc / MTech / PhD in Physics, Electrical Engineering, Materials Science or related field with quantum focus. Hands-on experience designing cryogenic or microwave testbeds and performing quantum measurements on superconducting qubits or similar platforms. Proven ability to measure and analyse device parameters (T₁/T₂, gate fidelity, tomography). Solid understanding of circuit QED and error-correction concepts relevant to superconducting hardware. Proficiency in Python (NumPy/Pandas/Matplotlib) or MATLAB for data analysis and instrument control. Strong problem-solving, communication and teamwork skills; comfortable in fast-paced R&D settings. Preferred Track record of peer-reviewed publications or conference presentations in quantum technology. Experience writing DoE-driven analysis reports that steer experimentation plans. Familiarity with cold-atom or spin-qubit platforms, autonomous calibration routines, or GPU-accelerated simulators. Knowledge of error-mitigation / bosonic-code techniques and their experimental implementation. Exposure to clean-room fabrication workflows and materials studies for superconducting devices. Contributions to open-source quantum-measurement tooling or instrument-control libraries. Skills: hamiltonian engineering,coherence times measurement,quantum-state tomography,ldpc codes,surface codes,gate fidelity measurement,python-based quantum platforms,circuit qed,automated data acquisition,numerical tool-chains,fault-tolerant architectures,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,data processing in matlab,quantum device characterization,problem-solving,experimental protocols,matlab,error-mitigation techniques,quantum-software stacks,cryogenic fixture design,collaboration,quantum computing,artificial intelligence,data processing in python,quantum error-correction codes,quantum-process tomography,teamwork,python,error-correction concepts,quantum-state & process tomography,communication,qubit-control schemes,semiconductor,peer-reviewed publications,dynamical decoupling,numerical methods

Company RNTBCI PL Job Description To support Braking system ECU development activity as per project milestones taking cost and quality into consideration. To check and study VDC ECU of CAN planning architecture / Circuit check /switch and indicator/ Electrical performance Spec. for conventional and ADAS feature vehicle ECU details and its change content. Vehicle ABS VDC -ECU Knowledge / Infotainment and CAN related software (CANALYZER, CANAPE) Bench test experience will be added advantage. Matlab Simulation Job Family Research & Development Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form. By submitting your CV or application, you authorise Renault Group to use and store information about you for the purposes of following up your application or future employment. This information will only be used by Renault Group companies as described in the Group Privacy Policy .

Looking for the candidates with Strong engineering back ground in power system analysis who can perform data analysis related to bulk transmission distributed generation supporting studies on solar wind,storage plants ,renewable grid integration

We are looking for a detail-oriented and analytical Data Analyst to support our organization’s data-driven decision-making process. The ideal candidate will be responsible for collecting, processing, analyzing, and visualizing data to help drive operational efficiency and quality improvements across divisions. You will play a key role in ensuring the accuracy, consistency, and availability of data used for strategic planning and performance tracking. Key Responsibilities: Collect, clean, and validate data from primary and secondary sources ensuring high standards of data accuracy and integrity. Extract and transform data using Python, SQL, and MATLAB for analysis and reporting purposes. Analyze large data sets to identify patterns, trends, and insights that support business strategies and quality improvement initiatives. Develop and maintain dashboards, reports, and management information systems (MIS) using tools like MS Excel, Power BI, or Tableau. Prepare timely and accurate reports on performance metrics, including visualizations and executive summaries. Assist in the design, development, and management of data systems and databases. Coordinate with cross-functional teams to understand data needs and provide analytical support. Support all divisional quality teams in data standardization and reporting consistency. Identify data quality issues and implement continual improvement initiatives to enhance data reliability and usability. Communicate findings and recommendations clearly through reports and presentations to stakeholders. Contribute to the development of a "Way Forward Matrix" by interpreting analytical results in line with organizational goals. Required Skills & Qualifications: Graduate in Data Science, Data Mining, Computer Science, Statistics, or a related field. 1–5 years of experience in data analysis, reporting, or business intelligence roles. Strong proficiency in Microsoft Excel (pivot tables, formulas, charts). Working knowledge of Python , SQL , and MATLAB for data manipulation and automation. Understanding of database concepts and hands-on experience with data querying. Excellent analytical and problem-solving skills. Strong written and verbal communication skills with the ability to explain complex data in a clear and concise manner. Detail-oriented with a focus on accuracy and data quality. Ability to work independently and manage multiple tasks in a fast-paced environment. Preferred Qualifications (Good to Have): Exposure to data visualization tools like Power BI, Tableau, or QlikView. Experience with statistical analysis and predictive modeling. Basic knowledge of quality management systems and metrics (especially useful in manufacturing or product quality domains). Key Attributes: Analytical mindset with a passion for working with data. Process-oriented and structured in approach. Proactive attitude towards continual improvement. Ability to work collaboratively across departments.

Description Are you interested in helping build world-class solutions for Amazon's Rest Of World (ROW) supply chain? Do you want to deliver products at scale that influence planning/forecasting of complex supply chain networks across ROW countries? Amazon’s ROW (Rest of World) Supply Chain Analytics team is looking for a talented Data Scientist with leadership skills, proven ability to develop, enhance, automate, and manage analytics models using strong quantitative skills. To be successful in the role, you will need to have strong data mining and modeling skills and be comfortable facilitating ideation and working from concept through to execution. You will build tools and support structures needed to analyze data, dive deep into data to determine root cause and present findings to business partners to drive improvements. You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with multiple business and technical teams. This position is located at Bangalore, IN. Key job responsibilities Development of scalable data science solutions to audit and optimize supply chain planning/forecasting Development and execution of analytical tools to model our networks (transportation, first-mile etc). Contribute to the strategy for forecasting/planning, prioritize technical and operational initiatives, evaluate and set stakeholders expectations. Basic Qualifications 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Preferred Qualifications Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3008253

We Are Hiring. Know anyone who might be interested Interested Candidates Share your Resumes: hr@ekalasaala.in Job Title : Subject Matter Expert (EEE) Job Location : Hitech City, Hyderabad Interview Mode : F2F Fresher/Experience : 0-2yrs Salary : Depends on Interview Timings : 10am - 6:30pm Working Days : Monday-Saturday *** Must Work from Office*** Company Description EKALASAALA is a pioneer in Career Guidance & Training for technocrats through e-learning in Hyderabad. They provide comprehensive career guidance for engineering graduates in India, helping them navigate their career paths effectively. Role Description This is a full-time Subject Matter Expert EEE role located in Hyderabad. The Subject Matter Expert will be responsible for providing expertise in the field of Electronics and Communication Engineering, conducting training sessions, developing educational content, and ensuring the quality of content delivered to students. Qualifications Experience in conducting training sessions and developing educational content Strong communication and presentation skills Ability to work collaboratively in a team environment Knowledge of e-learning platforms and technologies Experience in the education or training industry is a plus Bachelor's or Master's degree in EEE Should Have Good Knowledge In all EEE Topics and Matlab is mandatory Job Type: Full-time Pay: ₹30,000.00 - ₹35,000.00 per month Schedule: Day shift Work Location: In person

Overview: This role is a technical lead role within ICC, Hyderabad that will co-ordinate with Data Science and Analytics team on creation of new digital capabilities and sustaining existing digital capabilities. This role will act as the key technical expert dedicated to Foods Packaging Modeling & Simulation development (70%). This role also has the managerial responsibility of leading all DSA-ICC associates (30%). This role will act as one of the key technical specialists for packaging modeling & simulation. This role also will serve as local simulation team Lead to drive overall deliverables. The role will be responsible for performing simulations using FEM, DEM, CFD and other techniques and providing insights that influence the design and development of R&D applications, with focus on Foods Packaging applications. This role will also Collaborate with internal and external stakeholders in a global setting and will support Troubleshooting & Problem Solving to Diagnose and resolve issues related to simulation models and results. This role also is responsible for developing 3DX Apps, Graphical User Interfaces (GUI) and simulation templates. This role will also provide leadership to all simulation and modelling teams ( including other associates ). Responsibilities: Lead a team of Modelling, Simulation and other SMES of DSA team ( Including Bev Pkgs Teams) based out of Hyderabad. Provide Strategic direction in alignment with global teams and ensure timely delivery of Committed projects. Functional Responsibilities Deliver Foods Packaging Simulation models and apps per Simulation Roadmap and Timeline above Deliver modeling and simulation projects using 3DX, other general purpose and specialized numerical software. Collaborate with Dassault experts directly on delivering perfect packaging simulation templates and apps Design and develop innovative experiments to validate and improve models. Support other senior simulation engineers on assigned simulation tasks including CAD creation, CAD cleaning, meshing, pre-processing, post processing, creating visuals of data Work with external partners, software vendor, university, engineering firms, to develop technologies needed to fulfil PepsiCo need. Additional responsibilities in combining physics-based simulation, sensor technology, data analytics (AI/ML) to deliver digitized innovation projects (digital twin), Support Computational Chemistry projects by data collection and literature research New technology introduction and implementation Qualifications: PhD. with simulation concentration and 8+ years of work experience, MS with 10+ years experience Background in mechanical engineering, solid mechanics or related field Packaging experience with cardboard boxes, films, pallets, is a big plus but not necessary Hands-on experience with commercial software - CFD (ANSYS FLUENT, STAR-CCM+), FEA (ABAQUS, ANSYS Mechanical), DEM (ROCKY, EDEM), COMSOL. Knowledge about computational chemistry (hands on software experience with MOE, Shrodinger a plus) Experience designing and conducting physical testing required to formulate and/or calibrate models, i.e., Wind tunnel, mechanical testing, thermal measurements, Data Acquisition, High speed imagery, etc. Experience with Python, MATLAB, R, JMP a plus. Experience with VR/AR assets creation using KeyShot, Unity, Unreal, or Omniverse a plus. Knowledge and experience in food/beverage production and process engineering a plus – extrusion, drying, frying, mixing, filling, food safety. Strong project management and communication skills. Ability to collaborate with internal and external partners in a global setup. Robust understanding of engineering principle with experience in the area of fluid dynamics, thermodynamics and heat transfer. Experience with state-of-the-art modeling software that capable to model multi-physics problem involving multi-phase fluid flow and heat transfer in engineering and manufacturing processes. Knowledge of how to use simulation to evaluate new and novel technologies for PepsiCo’s innovation in processing/packaging.