390 System Engineering Jobs

Summary Responsible for scientific data analysis, system engineering, etc. The individual typically designs or works with informatics solutions specifically for research. The role requires expertise in Informatics and/or Informatics Systems with a good knowledge of research About the Role Key accountabilities: Collaborate closely with data scientists and subject-matter experts to fulfill data needs. Validate and ensure the accuracy and quality of data by cleaning, shaping, and sometimes analyzing, normalizing, and conforming it to existing models and vocabularies. Identify and rectify data inconsistencies and irregularities. Design data models and prepare data artifacts to effectively meet business needs. Promote culture of transparency and communication regarding data modifications, lineage, and definitions to all stakeholders. Minimum Requirements: Demonstrable experience as a data wrangler, data analyst, or a similar role. Demonstrable data processing expertise in Python, bash and other scripting tools. Demonstrable data management expertise in relational, document, column and graph datastores. Experience building ETL processes in high-performance environments like Databricks, AWS, Snowflake. Understanding and working vocabulary about common machine-learning concepts (training sets vs. test sets, over/under fitting, bias, annotations, feature extraction, RAG, LLMs, classifiers, and so on) Experience with ML and data libraries such as scikit-learn, pandas, tensorflow, and pytorch is a plus Experience and familiarity with various data types, including images, tabular, unstructured, and text. Habit of communicating pro-actively, asking questions, and seeking clarifications when necessary. Languages : English. You ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. Commitment to Diversity and Inclusion: Accessibility and accommodation Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork. novartis. com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork. novartis. com/network Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

Do Excellent communication skills Ability to Empathize, pacify and handle Irate Customers with Exceptional communication skills. Technical Knowledge in Troubleshooting Base Operating system Issues and eager to learn New Technologies. Troubleshooting Windows, Outlook, Teams, Citrix. VDI, VPN, Security App etc. over Remote Support Answer incoming calls and respond to customers emails in timely manner. Manage and resolve customer complaints. Identify and escalate issues to supervisors as and when needed. Provide product and service information to customers. Research required information using available resources and Offer Solution to customers. Research, identify, and resolve customer complaints using applicable software. Route calls and tickets to appropriate resources and Domains who can best support he user, Document all call information according to standard operating procedures. Recognize, document, and alert the management team of trends in customer calls. Create SOPs for new Issues and resolution given. Complete call logs and reports.

Job Description We are seeking a talented and motivated System Development Engineer to join our dynamic team. The ideal candidate will have a strong foundation in development technologies and a passion for building innovative solutions. Responsibilities: Design, develop, and maintain robust and scalable web applications. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Write clean, well-structured, and efficient code. Troubleshoot and resolve technical issues. Stay up-to-date with the latest technologies and industry trends. Contribute to code reviews and provide constructive feedback. Participate in the entire software development lifecycle, from requirements gathering to deployment and maintenance. Automate infrastructure provisioning and configuration using tools like Ansible and Terraform. Implement and manage CI/CD pipelines using tools like GitLab CI/CD or Jenkins. Collaborate with DevOps teams to ensure smooth deployment and operations. Troubleshoot and optimize application performance. Stay updated with industry best practices and security standards. Required Skills and Experience: Strong proficiency in PHP, CSS, and JavaScript. Experience with other programming languages (e.g., Python, Ruby, Go). In-depth knowledge of web servers like Apache and NGINX. Understanding of database systems, including MySQL and PostgreSQL . Experience with Linux servers and shell scripting (Bash). Familiarity with Docker and Kubernetes. Proficiency in GitLab/GitHub for version control. Experience with CI/CD pipelines. Understanding of infrastructure automation tools like Ansible and Terraform. Ability to learn new technologies quickly. Excellent problem-solving and analytical skills. Strong communication and teamwork skills. Preferred Skills and Experience: Knowledge of frontend frameworks (e.g., React, Angular, Vue.js). Understanding of cloud platforms (e.g., VMware, AWS, GCP, Azure). Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Icinga, ELK Stack). Knowledge of security best practices and vulnerability scanning tools. Additional Qualities: A passion for technology and a drive to learn. A collaborative and team-oriented approach. A keen eye for detail and a commitment to quality. The ability to work independently and take initiative.

Analyze specifications related to powertrain and vehicle systems, deploy requirements and define the KPI and Qualification Criteria. • Design the system architectures (System Part List, Function List, System Lay-out, SOR) in accordance with the team involved in the design. • Participation to system and sub-system analysis (System FMEA, FTA,) and support in sharing the results. • Review work-products according to Gx gates • Support and suggest competitiveness actions and benchmark for the system in term of requirement fulfillment • Guarantee the support to proof of concept and feasibility studies to anticipate customer requirements. • Contribute to the definition of system architecture during the offer phase to achieve quality target. • Promote continuous benchmark on competitor's solutions. • Participate in the definition of Products road map. • Contribute to protection of strategic know how and company intellectual properties. • Cooperate with other department of Product Development in Marelli-PS to support system, sub-system and component design.

Excellent C/C++ skills with strong knowledge in data structures & algorithms Experience in Android Kernel, Camera HAL & Camera Framework development. Experience in Linux Device driver / Kernel module development for camera sensors and camera peripherals such as Flash, Actuator, EPROM etc. System engineering and Algorithm design for camera use cases in mobile phones. Hands on development experience in multi-threaded and multi-core environment. Excellent debugging skills. Use of Google Compliance Test suites & ensuring changes in Kernel, HAL & framework adhere to these compliances. Leveraging ISP pipeline for real-time/offline processing. C++, C, Camera Framework, Camera Hal, Android Kernel

Systems Engineer1 What You Will Do Bring 5+ years of hands-on SaaS applications administration experience Have experience with renewal processes, ideally in a SaaS environment Demonstrate excellent analytical, problem-solving, and operational skills to evolve the application strategy based on research, data, and industry trends Drive technical and operational excellence, pushing innovation with security, reliability, and quality Have a willingness to self-train on new technologies Be organized, driven, diligent and creative Work with geographically remote teams and business partners What You Will Need Manage system configurations for multiple SaaS applications. Some systems/ apps you may be using and supportingGoogle Workspace, Box, Slack, Zoom, diagramming software (e.g. Lucidchart, Mural), creative software (Adobe, Figma, etc.), SurveyMonkey. Influence the experience of applications used by thousands of client employees as they do critical work Identify ways to cut SaaS spend from redundant applications and inactive users to increase efficiencies Serve as a point of contact and subject-matter expert on applications configurations and integrations, licensing details, current usage statistics Be aware of user bases and their most common use cases and needs within the application to help drive and execute decisions on what applications team should invest in, maintain as-is, replace, or retire Partner with Security team to identify the risks associated with business applications and add the controls necessary to mitigate the risks Identify automation and optimization opportunities across the application lifecycle management Collaborate with Operations team to troubleshoot escalated issues Develop and document standards for the administration of the applications Inspire and mentor your more junior colleagues, sharing processes, skills, and experience with others to help up-skill the entire team Well Be Super Excited If You Have Jira and Confluence experience including working on EPICs, stories and tasks. ServiceNow experience

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The successful candidate(s) will be responsible for: Development and productize various video solutions on Qualcomm processors Enhance video, imaging Firmware solutions and help with video, imaging hardware subsystem enhancements in future Qualcomm Mobile Processors Design of video, imaging features and work with a wide set of teams across the company (systems, software, hardware, etc.) in the productization Customer interaction to commercialize Qualcomm Video solutions. Skills/experience Recent and relevant experience of 6-10 years required in one or more of the following areas: Embedded systems domain Solid C programming skills, multithreading and OS concepts\fundamentals Collaborate with cross-functional teams to design, implement and debug video\multimedia features for mobiles. Good analytical and problem-solving skills. Able to guide team members on assignments Able to lead team of 2-5 engineers, handle task assignments, decide strategy for the team Has good decision making, resource planning skills Preferred Skills Good understanding of signal processing, video compression\codecs (Encoder + Decoder) and other video pre/post processing algorithms. Any of the multimedia (Video, Camera, Computer Vision) domain experience. Hands on knowledge\experience on H.264\HEVC\VP9\MPEG family video codec(s) development, porting and optimization Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Company: Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Analyze and evaluate GPU architecture/microarchitecture and workload for performance and power optimizations GPU power modeling and estimation for projection and correlation GPU workload analysis, profiling, and characterizations Analyze, model, and minimize GPU register, logic, memory, and clock power Develop and maintain tests for pre-silicon and post-silicon power verifications. Work closely with multiple teams such as RTL designer, architecture, design verification, compiler, driver, silicon implementation, and post-silicon teams Knowledge of Graphics architecture is a plus Minimum Qualifications: Bachelor's degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field. 2+ years of experience with ASIC design and verification 2+ years of experience with low-power ASIC optimization Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.* Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Preferred Qualifications: Master's or PhD degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field. 3+ years of experience with advanced CPU/GPU architecture/microarchitecture design development 5+ years of experience with VLSI design and verification 5+ years of experience with low-power ASIC design techniques Experience with industry tools such as PrimeTime PX and Power Artist Experience with Vulkan, DirectX3D, OpenGL, OpenCL, or Cuda development Experience with GPU driver and compiler development Skills: C/C++ Programming Language, Scripting (Python/Perl), Assembly, Verilog/SystemVerilog, Design Verification

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm is looking for an experienced Chipset Power System Engineer who is passionate in solving power challenges and develop innovative solutions for optimizing power for next generation Snapdragon chipsets of various platforms in applicator processor, modem, automotive, AR/XR, compute and machine learning. The engineer is expected to work with cross-functional engineering teams to model SOC/chipset power and come up with innovative solutions to optimize hardware and software to enhance SOC and chipset and achieve world-class chipset low power consumption. In this position, the engineer will support the existing tools and methodologies while defining the long term strategy in the areas below. Power Modeling and Methodology Drive the engineering process to gather requirements, design, prioritize and track derived tasks, test, and deliver tools and methodologies to the power community Maintain existing power modeling tools and methodology. Define and deliver API's to the power community as required. Create block-level and system-level power models as required. Integrate and port power models from IP teams into the existing framework. This involves working closely with contributing teams and aligning power modeling requirements and negotiating power model deliverables for framework integration. Drive and participate in cross-functional power modeling collaborations which includes hardware, systems, architecture, software, and post-silicon teams Track technology changes with the enhancement to the power modeling methodology by incorporating new low power techniques, algorithms, power management schemes, etc. Power Analysis Collaborate to assess use case power impact in areas such as thermal and formfactor variance, architecture changes, IP changes, low power techniques Understand and perform block & chip-level power analysis and ensure methodologies satisfies the requirements to enable these activities Enable other teams to leverage the tools and methodologies and perform technology specific power analysis. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. Preferred Qualifications: Master's Degree in Engineering, Information Systems, Computer Science or related field. 12+ years of Systems Engineering or related work experience. 8+ years of 4G/5G/6G systems and associated cellular standards (e.g., 3GPP NR, LTE, LTE, 3G). 3+ years of experience working in a large matrixed organization. 2+ years of supervisory experience. 2 + years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). 1+ year in a technical leadership role with or without direct reports. Principal Duties and Responsibilities: Leverages advanced Systems knowledge and experience to research, design, develop, simulate, and/or validate critical systems-level software, hardware, architecture, algorithms, and solutions while ensuring system-level requirements and standards are met. Performs highly complex functional analysis to drive requirements and specifications and to define and align with standards for hardware and software. Develops and analyzes highly complex system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system. Collaborates with cross-functional teams (e.g., product management teams, engineering teams, etc.) to complete project work, including implementing and verifying the system. Develops algorithms and works on new and innovative ideas (e.g. IDFs) for a product or feature area. Drives triage of highly complex problems at the system level to determine root cause and presents results of testing and debugging to internal and external stakeholders. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We are looking for a highly skilled and experienced Thermal and Peak Current Limits Performance Engineer to join our engineering team. In this role, you will be responsible for ensuring the thermal performance and peak current limits of our products. You will collaborate with cross-functional teams like architecture, power and design to analyze, and optimize thermal systems, peak current contraints and components, ensuring they meet performance and reliability standards. Key Responsibilities: Thermal Analysis and Design: Conduct detailed thermal analysis and design for various components and systems to ensure optimal performance and reliability. Must requirement: Understanding of general Power HW/SW and Limits Management HW/SW architecture and framework Desirable to understand CPU, graphics and AI HW engine and architecture Understanding of Powe grid and chipset architecture Ability to analyze and deep dive into Limits throttling mechanisms effectives, efficiencies, latencies and Performance Ability to debug and analyze Power Thermal Performance issues Hands ON for characterization and profiling of Power, thermal and electrical spec Handling measuring equipment for Power and thermal Peak Current Limits Analysis: Evaluate and optimize peak current limits to ensure safe and efficient operation of electrical systems. Simulation and Modeling: Knowledge on Utilize advanced simulation and modeling tools to predict thermal behavior and peak current limits, identifying potential issues is desirable Testing and Validation: Develop and execute test plans to validate thermal performance and peak current limits, ensuring compliance with design specifications. Performance Optimization: Identify and implement strategies to optimize thermal performance and peak current limits. Collaboration: Work closely with design, chipset/platform architecture, and product test teams to integrate thermal and peak current solutions into product development. Documentation: Prepare comprehensive technical reports and documentation to support design decisions and project milestones. Problem Solving: Troubleshoot and resolve thermal and electrical-related issues in existing products and during the development phase. Providing HW and SW Limits Mechanism solutions to manage thermal and electrical risks Proficiency in system level debug analysis, efficient usage of Power performance tools for debug and providing detailed analysis Innovation: Stay updated with the latest advancements in thermal engineering and peak current limits, applying innovative solutions to improve product performance. Qualifications: Education: Bachelor's or Master's degree in Electrical/Electronics & communications Engineering, Mechanical Engineering, Thermal Engineering, or a related field. Experience: Minimum of 7+ years of relevant experience in area of Power, Thermal and limits management analysis, design, and optimization Technical Skills: Knowledge and good understanding of thermal simulation software (e.g., ANSYS, COMSOL), CAD tools, and data analysis, is added advantage. Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data. Communication: Excellent verbal and written communication skills to effectively collaborate with cross-functional teams. Attention to Detail: High level of attention to detail and accuracy in work. Team Player: Ability to work effectively in a team environment and contribute to team success. Preferred Qualifications: Experience with thermal management and peak current limits in electronics or semiconductor industries. Knowledge of industry standards and regulations related to thermal performance and peak current limits. Familiarity with thermal testing equipment and methodologies. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Job Overview: Qualcomm is a company of inventors that unlocked 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. We are investing in several supporting technologies including 4G, 5G, Edge Computing, and Deep Learning.The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond. We are seeking ambitious, bright and innovative engineers with experience in Machine learning frameworks, compiler technology, vectorization and optimization, and machine learning toolchains.Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must. We are looking to staff engineers at multiple levels in systems & software, integration and test. Details of one of the roles we are looking to staff are listed below. Responsibilities: Research, design, develop, enhance, and implement the different components of machine learning framework, compilers based on performance and code-size needs of the customer workloads and benchmarks. Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs. Analyze and identify system level integration issues, interface with the software development, integration and test teams. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 8+ years Systems Engineering or related work experience. Preferred Qualifications Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow. Has experience in model level optimization using techniques like torch compile. LLVM or any industrial strength compiler development experience is a plus. Knowledge of the structure and function of the compiler internals. Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus. Hands-on experience implementing DSP Kernels a plus Hands-on Experience in C/C++, Python development (5+ years) Hands-on Experience with Object Orientated Design, TDD development solutions such as GoogleTest etc. (4+ years) Experience with Source Code and Configuration management tools, git knowledge is required Willingness to work in a cohesive software development environment with ability to work on low level implementation (code & test) and interfacing with hardware and simulators Experience in neural network architectures + ML compiler workload synthesis, a plus Prior working experience of hardware accelerators and hardware software co-design Experience in using C++ 14/17 (advanced features) Experience at both the firmware (RTOS) and system level (Linux) in SOC Experience of profiling software and optimization techniques Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Skills/experience: Recent and relevant experience required in one or more of the following areas: 3-6 years of experiences in image processing/computer vision/video domain. Good understanding of image processing and computer vision fundamentals.. Hands on knowledge\experience on camera/computer vision pipeline, development, porting and optimization Experience in optimizing the image processing kernels on x86/ARM-Neon/DSP or Any VLIW based architecture. Solid C\assembly programming skills, multithreading and OS concepts\fundamentals. Collaborate with cross-functional teams to design, implement and debug CV\multimedia features for mobiles. Good analytical and problem solving skills. Exposure to OpenCV APIs is a plus. Responsibilities: The successful candidate(s) will be responsible for: Development and productize various CV solutions on Qualcomm processors. Optimize CV algorithms on CPU, DSP & GPUs. Enhance CV, imaging Firmware solutions and help with video, imaging hardware subsystem enhancements in future Qualcomm Mobile Processors Design of CV, imaging features and work with a wide set of teams across the company (systems, software, hardware, etc.) in the productization Customer interaction to commercialize Qualcomm CV solutions. Education requirements: RequiredBachelor's/Master’s Computer Engineering and/or Electrical / Electronics Engineering Preferred Masters

Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Job Overview Qualcomm is a company of inventors that unlocked 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. We are investing in several supporting technologies including 4G, 5G, Edge Computing, and Deep Learning. The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond. We are seeking ambitious, bright and innovative engineers with experience in Machine learning frameworks, compiler technology, vectorization and optimization, and machine learning toolchains. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must. We are looking to staff engineers at multiple levels in systems & software, integration and test. Details of one of the roles we are looking to staff are listed below. Responsibilities Research, design, develop, enhance, and implement the different components of machine learning framework, compilers based on performance and code-size needs of the customer workloads and benchmarks. Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs. Analyze and identify system level integration issues, interface with the software development, integration and test teams. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 8+ years Systems Engineering or related work experience. Preferred Qualifications Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow. Has experience in model level optimization using techniques like torch compile. LLVM or any industrial strength compiler development experience is a plus. Knowledge of the structure and function of the compiler internals. Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus. Hands-on experience implementing DSP Kernels a plus Hands-on Experience in C/C++, Python development (5+ years) Hands-on Experience with Object Orientated Design, TDD development solutions such as GoogleTest etc. (4+ years) Experience with Source Code and Configuration management tools, git knowledge is required Willingness to work in a cohesive software development environment with ability to work on low level implementation (code & test) and interfacing with hardware and simulators Experience in neural network architectures + ML compiler workload synthesis, a plus Prior working experience of hardware accelerators and hardware software co-design Experience in using C++ 14/17 (advanced features) Experience at both the firmware (RTOS) and system level (Linux) in SOC Experience of profiling software and optimization techniques Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Analyze and evaluate GPU architecture/microarchitecture and workload for performance and power optimizations GPU power modeling and estimation for projection and correlation GPU workload analysis, profiling, and characterizations Analyze, model, and minimize GPU register, logic, memory, and clock power Develop and maintain tests for pre-silicon and post-silicon power verifications. Work closely with multiple teams such as RTL designer, architecture, design verification, compiler, driver, silicon implementation, and post-silicon teams Knowledge of Graphics architecture is a plus Minimum Qualifications: Bachelor's degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field. 2+ years of experience with ASIC design and verification 2+ years of experience with low-power ASIC optimization Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.* Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Preferred Qualifications: Master's or PhD degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field. 3+ years of experience with advanced CPU/GPU architecture/microarchitecture design development 5+ years of experience with VLSI design and verification 5+ years of experience with low-power ASIC design techniques Experience with industry tools such as PrimeTime PX and Power Artist Experience with Vulkan, DirectX3D, OpenGL, OpenCL, or Cuda development Experience with GPU driver and compiler development Skills: C/C++ Programming Language, Scripting (Python/Perl), Assembly, Verilog/SystemVerilog, Design Verification

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Will be working on Qualcomm Snapdragon SoC HW performance with High Level OS Like Windows, Linux ++ BenchmarkingConduct comprehensive performance benchmarking using industry-standard benchmarks to evaluate system performance Performance OptimizationAnalyze and optimize the power and performance of gaming CPUs, GPUs, and other compute components. Power ManagementDevelop and implement power management strategies to enhance energy efficiency without compromising performance System AnalysisPerform detailed system analysis to identify performance bottlenecks and propose solutions. CollaborationWork closely with hardware and software development teams to ensure seamless integration of power and performance features. Develop comprehensive test plan for power and performance validation of the SoC both from a use case requirement as well as capability of the design. Determine which KPIs are relevant for the power and performance study by working closely with the respective subsystem teams in design, DV and validation. Passionate for deep dive analysis on performance issues, bottlenecks and validating fixes or workarounds on subsystem and related SOC Interface with subsystem validation, competitive analysis, debug tools and SW teams during debugs Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm is looking for an experienced Chipset Power System Engineer who is passionate in solving power challenges and develop innovative solutions for optimizing power for next generation Snapdragon automotive chipsets. The engineer is expected to lead a cross-functional engineering team to model SOC/chipset power and come up with innovative solutions to optimize hardware and software to enhance SOC and chipset and achieve world-class chipset low power consumption. In this position, the engineer will be involved in all stages of the design and development cycles guiding the power-efficient design of the end-end solution. Responsibilities include: -- Power architecture and tradeoff analysis -- Chipset and system level power modeling, analysis and optimization for SOC, chipset and platform solutions. -- Identify power requirements and quantify power gap/risk areas. -- Optimize power efficiency and performance of present generation designs and help architect future products. -- Guide multi-function groups through the design cycle in realizing the power targets set forth at the inception of the project. -- Design of power features and work with cross functional teams (systems, software, hardware, silicon process, production test, etc.). -- Customer interaction to advertise the capabilities of the chipset, and to understand and address specific power requirements. -- Power modeling of customer-specific use cases and designs. Minimum Qualifications -- Master’s degree in Electrical Engineering or equivalent field is required as a minimum.. -- Analysis and design of low power features at SOC, chipset or platform level. -- Architectural knowledge in application processor, modem processor, AR/XR, machine learning, automotive or computing. -- System knowledge of automotive SOC or chipset. -- Hardware or software design or optimizations of low power features. -- System level power modeling and analysis. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The candidate will join a dedicated team focused on achieving industry leading power consumption on Qualcomm chipsets, working with a wide set of teams across the company (systems, software, hardware, etc.) to realize solutions. In this position, the candidate will be involved in various stages of the power use case modeling, analysis, correlation, and improvement cycles. Skills/experience Recent and relevant experience required in one or more of the following areas Application processor Modem Communication systems design Experience in mobile technologies areas (e.g., WAN modem, CPU, camera, , graphics,) Experience in software design, and commercialization of System-level power features is required, and an interest in System and analysis is a must. Solid foundation in Electrical Engineering, with the ability to work with spreadsheets and other custom tools at a detailed level. Other Professional Attributes and Desired Skills: Systems/HW background with a good understanding of microprocessor and common SoC hardware blocks (Interconnects, Display, Graphics, etc.) 5+ years of relevant work experience Responsibilities The candidate is responsible for Maintaining and developing chipset level power use case modeling tools and methodologies. Working with the power HW/SW/System teams to collect power use case definition and characteristics. Understanding the hardware architecture/design at a high level and how the power use cases exercise and map to individual HW blocks. Translating the power estimate requests into detailed tasks for end-to-end use case power modeling Analyzing the modeling output, summarizing the results, presenting, and proposing the improvement solutions. Enabling other teams to leverage the tools and methodologies to perform in-depth power analysis. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devicesBe part of the group that is working on technology that will bring “Cognition” to all connected devicesThat means devices that don’t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect Engineer to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Responsibilities include analyzing and optimizing custom processors/accelerators, developing and training data-driven architecture models, correlating these models, and performing system-level architecture analysis. Minimum Qualifications: Experienced candidates (1 - 4 years) are welcome to apply with experience in the following area: Strong academic records (GPA 3.0 or 72% and better) Excellent programming skills in C/C++, Python Strong problem-solving skills Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal) Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Basic understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Excellent verbal, written, and presentation skills Ability to work effectively as part of a team Knowledge of OOP principles Knowledge of GPU Programming / Architecture is a bonus Minimum Education Required : Masters/Bachelor’s Computer Engineering, Electrical Engineering or Engineering Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devicesBe part of the group that is working on technology that will bring “Cognition” to all connected devicesThat means devices that don’t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Minimum Qualifications: Experienced candidates (8-12 years) are welcome to apply. Industry experience in image processing, computer vision, machine learning and video domain. Strong motivation and ability in learning new subjects especially in the field of artificial intelligence Excellent understanding of image processing and computer vision fundamentals. Strong programming skills in C\C++, Python, OpenGL Strong multithreading, and OS concepts\fundamentals. Collaborate with cross-functional teams to design, implement, and debug machine learning software applications Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal). Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Advanced understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Proficient in OOP principles Knowledge of GPU Programming / Architecture is a bonus Ability to work effectively as part of a global team Responsibilities: The successful candidate(s) will be responsible for: Leverage advanced computer architecture knowledge for analyzing and optimizing custom processors/accelerators Develop and train data-driven architecture models, correlating these models, and performing system-level architecture analysis. Design, develop and test advanced solutions for AI processors. Work independently with minimal supervision Provide guidance/supervision to team members Education requirements: RequiredMaster’s Computer Engineering and/or Electrical / Electronic Engineering PreferredPhD in Computer Engineering and/or Electrical / Electronic Engineering (focus on Image processing, Computer vision, Machine learning) Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Responsibilities:This position will be responsible for research, analysis and improvement of Qualcomm's Adreno GPU compiler and system performance to our world wide customers. From the analyses and experiments on GPU shaders and bottlenecks, usage and development of tools/profilers, and investigation of compiler architecture, there will be opportunities to influence performance of games, applications, and hardware design, through interactions in compiler/driver, architecture and games development. Qualifications: A BS/MS/PhD degree in Computer Science or Electrical Engineering. LLVM Compiler knowledge, development, and optimization experience. Understanding of GPU and computer architecture (CPU, memory, data layout, etc.) and performance tradeoffs. Experience with C/C++ and Python Good communication skills and teamwork spirit, reliable and self-motivated Minimum Qualifications - Bachelor's or higher degree in Computer Engineering, Computer Science, Electrical Engineering, or related field. 5+ years Systems Engineering or related work experience Preferred Qualifications: - Master's or higher degree in Computer Engineering or Computer Science. 7+ years Systems Engineering or related work experience Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. Additional Plus: Graphics shader programming (OpenGL, Vulkan, DirectX, or others) or OpenCL/CUDA kernel development Experience / understanding of profiling / debugging tools and hardware performance counters for parallel applications Experience with benchmarking and performance tuning for parallel applications, games, HPC, AR/VR, or AI applications.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : .NET Architecture Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :The Architect will focus on multiple areas and provide architectural direction and leadership to the engineering teams. They will work to influence and build a vision with product managers, team members, and other engineering teams to solve complex problems. The role involves leading design sessions and conducting code reviews to elevate the quality of engineering across the organization. Additionally, the Architect will mentor team members to help them achieve success in their goals and contribute effectively to projects. Roles & ResponsibilitiesScope Collaborate with cross-functional teams to prepare technical design specifications based on product management and architectural initiatives Drive Architectural Governance activitiesSeek platform convergencePlan across engineering initiatives and new feature delivery to find a balance between customer delivery and organizational health Identify opportunities for improvement in applications and provide actionable recommendations to the teams Assist and mentor development staff in the delivery of product features Excellence Helping to build successful teams that have a learning culture by providing direction and fostering communication to help teams make decisions to accomplish their goals Assisting teams with technical conversations, driving towards action and a successful outcome Communication & Influence Build strong relationships with your team and stakeholders Care about our customers and the impact our software has on their business outcomes Demonstrate a willingness to learn, adjusting as needed to make improvements to the teams processes, etc. Provide feedback to peers and teams to instill a learning culture Communicating clearly with executive leadership, peers, and development teams Favor optimism Professional & Technical Skills: Significant experience in design (architecture, design patterns, reliability, and scaling) and implementation or enhancement of new and current systems. Significant experience in system engineering involving analytical systems design and implementation. Fluency and specialization with modern languages such as Java, C# or PythonExperience in building products using microservices architectural patterns and extensible REST APIs. Experience in design (architecture, design patterns, reliability, and scaling) and implementation or enhancement of new and current systems. Familiarity with continuous delivery and infrastructure as code. Preferred Qualifications Fluency in DevOps ConceptsExperience with application monitoring tools and performance assessments. Understanding of security architecture, protocols, and products including Active Directory, Windows Authentication, SAML, OAuth. Experience with AWS (Amazon Web Services) and Azure; a background in multi-cloud environments. Additional Information:Bachelors OR Masters Degree in Software Engineering, Computer Science, Information Systems, or related field. Minimum ten (10) years of experience in software development or equivalent combination of education and/or experience; flexible for the right candidate. Qualification 15 years full time education

Skill required: IX Intelligent Capital Project Operations - Low Carbon Grid Capital Projects Designation: Capital Projects Management Specialist Qualifications: BTech Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do We are seeking a skilled and motivated Power System Engineer with mid-level experience to join our dynamic team. As a Power System Engineer, you will be responsible for the analysis, design, operation, and optimization of electrical power systems, ensuring reliability, efficiency, and safety. You will work closely with cross-functional teams to support the development, testing, and deployment of electrical infrastructure projects. Key ResponsibilitiesPower System Analysis & DesignPerform steady-state and dynamic analyses of electrical power systems using advanced software tools (e.g., PSCAD, PSS/E, ETAP, DIgSILENT PowerFactory). Conduct load flow, short circuit, protection coordination, stability, and fault analysis. Design and specify components for electrical power systems, including substations, transmission lines, and distribution networks. Develop system models for various scenarios and provide solutions for power system optimization. System Protection & ControlDesign, implement, and test protection and control systems for electrical networks. Perform coordination of protective relays and devices, ensuring proper settings for system protection. Troubleshoot and resolve protection system issues during both routine operations and emergencies. Technical Documentation & ReportingPrepare detailed technical reports, system studies, and analysis findings. Provide accurate and timely documentation for system upgrades, testing, and regulatory compliance. Create clear and concise presentations of technical data for both internal teams and external stakeholders. Collaboration & Continuous ImprovementWork collaboratively with electrical engineers, project managers to ensure successful project execution. Participate in technical discussions and contribute to process improvements. Stay up-to-date with industry advancements, regulatory changes, and best practices in power system engineering. What are we looking for Bachelors degree in Electrical Engineering, Power Systems, or a related field (Master s degree is a plus). Experience in power system engineering, with a focus on design, analysis, and optimization. Proficient in power system analysis software such as PSS/E, PSCAD, ETAP, or DIgSILENT PowerFactory. Solid understanding of electrical network components, including transformers, circuit breakers, relays, and conductors. Experience with protection and control system design, relay coordination, and fault analysis. Familiarity with national and international standards and regulations (e.g., IEC, IEEE, ANSI). Data Driven Approach Data Reporting Roles and Responsibilities: Power System Analysis & DesignPerform steady-state and dynamic analyses of electrical power systems using advanced software tools (e.g., PSCAD, PSS/E, ETAP, DIgSILENT PowerFactory). Conduct load flow, short circuit, protection coordination, stability, and fault analysis. Design and specify components for electrical power systems, including substations, transmission lines, and distribution networks. Develop system models for various scenarios and provide solutions for power system optimization. System Protection & ControlDesign, implement, and test protection and control systems for electrical networks. Perform coordination of protective relays and devices, ensuring proper settings for system protection. Troubleshoot and resolve protection system issues during both routine operations and emergencies. Qualification BTech

Job Title: System Engineer VPN & Network Infrastructure Location: Noida Department: IT / Infrastructure Employment Type: Full-Time Job Summary: We are seeking a skilled and proactive System Engineer with hands-on experience in designing, implementing, and managing VPN solutions and secure network infrastructures . The ideal candidate will have a deep understanding of system administration, network protocols, and cyber security best practices, and will be responsible for creating custom VPNs, ensuring secure remote access, and maintaining robust internal IT systems. Key Responsibilities: Design, deploy, and manage custom VPN solutions (e.g., OpenVPN, WireGuard, IPSec, etc.) for secure remote connectivity. Configure and maintain network infrastructure , including routers, firewalls, switches, and access points. Monitor and troubleshoot VPN performance and connectivity issues, ensuring high availability and reliability. Implement security protocols and best practices to safeguard internal systems and remote access points. Work with cross-functional teams to support infrastructure needs for software development, testing, and deployment. Manage user access and authentication for VPN usage (e.g., certificates, multi-factor authentication). Maintain documentation for VPN configurations, system architecture, and network topology. Perform regular system upgrades, patches, and backups to ensure optimal performance and security. Conduct audits and compliance checks to meet internal and external security standards. Provide technical support and training to internal teams related to VPN access and system tools. Required Skills and Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. 2–5 years of experience as a System Engineer, Network Administrator, or a similar role. Strong proficiency in C++ and Linux/Unix system administration (mandatory). Proven experience in setting up and managing custom VPNs (OpenVPN, WireGuard, StrongSwan, etc.). Solid understanding of firewalls, routing, and IP addressing. Experience with scripting languages such as Bash or Python for automation tasks. Good grasp of cybersecurity fundamentals, encryption techniques, and access control mechanisms. Exposure to cloud infrastructure platforms like AWS or Azure is an advantage. Strong analytical and problem-solving skills. Excellent communication and documentation abilities.

Job Overview: We are seeking a highly skilled System Engineer with 14 years of experience to lead the development and integration of next-generation digital instrument clusters and cockpit systems . The role demands deep technical acumen in automotive system engineering , focusing on feature definition , interface management , and system validation , ensuring seamless integration of hardware, software, HMI, and network interfaces. You will work across cross-functional teams and act as the central technical point of contact for feature realization , system-level issue resolution , and customer interactions throughout the lifecycle of the product. Key Responsibilities: System Requirements & Architecture: Elicit, define, refine, and manage end-to-end system requirements for advanced cluster and cockpit ECUs. Develop system architecture , including block diagrams, system decomposition, and signal-level data flow. Map OEM feature requirements to subsystem requirements across hardware, software, display, and connectivity. Maintain traceability from features to requirements to test cases using tools like DOORS . Interface & Communication Management: Define and manage interfaces between subsystems: MCU, SoC, displays, touch controllers, sensors, CAN, LIN, Ethernet, USB, Bluetooth. Collaborate with software and hardware teams to specify and validate HW-SW interfaces and communication matrices (DBC, ARXML) . Analyze and define requirements for bootloaders , diagnostics , and OTA update mechanisms . Feature Integration & System Validation: Own feature integration plans and perform system-level feature testing and debugging (in bench and vehicle). Coordinate with validation teams to create system test cases , HIL test scenarios, and DFMEA/FTA inputs. Support integration testing , issue triaging , and root cause analysis across layers (HW, BSP, middleware, app layer). Compliance, Standards & Quality: Ensure system-level compliance with ASPICE Level 2+ , ISO 26262 Functional Safety , ISO/SAE 21434 Cybersecurity , and EMC standards (CISPR 25, ISO 11452). Support audits, reviews, and technical documentation for design releases , customer sign-offs , and PPAP submissions. Customer & Supplier Interface: Act as a technical liaison with OEMs & technical partners. Handle requirement negotiations , change requests, impact analysis, and delivery planning. Support field teams during test drives, validation campaigns , and vehicle integration activities . Required Qualifications: Bachelor’s or Master’s degree in Electronics Engineering, Electrical Engineering , or Embedded Systems . 5–6 years of experience in automotive system engineering , specifically in digital clusters, cockpit domains, or infotainment . Proficient in CAN, LIN, Ethernet communication protocols, UDS diagnostics , and CAN DBC files . Strong understanding of embedded electronics architecture , SoCs (Qualcomm, MediaTek), microcontrollers (Renesas, NXP, Infineon), displays, and sensors. Experience with tools like DOORS, CANoe, CANalyzer. Desirable Skills: Knowledge of Android Automotive, QNX, Linux-based platforms . Understanding of Hypervisors, Multi-OS systems , and virtualization in cockpit ECUs. Exposure to AUTOSAR (Classic/Adaptive) architecture and tooling. Hands-on experience in HMI validation , graphics stack (OpenGL, GPU drivers), or voice assistants . Familiarity with FUSA analysis (ASIL B or above) and cybersecurity threat modeling . Soft Skills: Strong analytical and problem-solving mindset. Excellent communication and documentation skills. Ability to work in a fast-paced, cross-cultural, multi-disciplinary environment . Capability to lead and mentor junior engineers in system integration activities.