393 Signal Processing Jobs - Page 2

Job Description Summary GE Vernovas Advanced Research business is the central innovation engine for GEs portfolio of energy businesses, which is unified under one banner called GE Vernova. The research organization is made up of 300+ researchers representing virtually every major scientific and engineering discipline. Collectively, they are driving major research programs and initiatives to decarbonize power, accelerate renewables, and promote electrification and the creation of a 21st century grid fit to power a zero-carbon energy future. We are seeking a highly motivated and skilled researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML). As a Research Engineer, you will have the opportunity to work closely with our experienced engineers and researchers on cutting-edge projects that leverage AIML techniques for the development of state-of-the-art prognostics, diagnostic and modelling solutions. Job Description Roles and responsibilities Develop innovative algorithms and methodologies in artificial intelligence and machine learning (AIML) tailored for process and product development. Analyse extensive datasets to identify patterns, trends, and insights, focusing on diagnostics and prognostics for large-scale energy equipment. Implement and enhance AIML algorithms and models for optimal performance. Design and execute experiments to evaluate the efficacy and reliability of AIML-based solutions. Document research findings, methodologies, and implementation details for effective knowledge sharing and future reference. Collaborate with cross-functional teams, including engineers, researchers, and product managers, to integrate AIML solutions into existing system platforms. Stay informed on advancements in AIML, control systems, and signal processing engineering through literature reviews and participation in relevant conferences and seminars. Research, conceptualize, and develop AI solutions for complex industrial challenges. Work collaboratively with fellow researchers on ongoing and new projects. Demonstrate the value of AI through early prototypes and solutions addressing real-world problems. Utilize software libraries, tools, and practices to implement efficient, scalable, and reusable solutions. Contribute to intellectual property development by writing invention disclosures and filing patents. Publish research in scientific journals and present findings at conferences. Required Qualifications PhD with 2 - 5 Years Experience or Masters degree with 5 - 7 Years Experience from a reputed institution in Computer Science or other engineering field. Strong understanding of fundamental concepts in statistics, machine learning, and artificial intelligence. Proficiency in programming languages commonly used in AIML applications such as Python, PySpark, PyTorch, Pandas, or similar. Experience with data analysis and manipulation using tools like Pandas and NumPy. Familiarity with software development best practices, including version control (e.g., Git) and agile methodologies. Basic knowledge of cloud-based architectures Excellent problem-solving skills and ability to think critically and creatively. Strong communication skills and ability to work effectively in a collaborative team environment. Demonstrated ability to build prototypes and quickly develop proof of concepts to show solution feasibility. Additional Information Relocation Assistance Provided: Yes

Responsibilities: * Design signal processing algorithms. * Collaborate with cross-functional teams. * Optimize system performance. * Develop test plans and procedures. * Implement solutions using industry standards.

As an Intern Financial Market Analyst (Quantitative Mathematics) at our location in Jaipur, India, you will be responsible for Strategy Ideation & Prototyping. Your role involves formulating quantitative trading hypotheses based on mathematical constructs such as time-series patterns, stochastic processes, statistical arbitrage, and volatility-based signals. Utilize tools from probability theory, linear algebra, calculus, or signal processing to design rule-based models that respond to market conditions. Explore ideas inspired by physical systems such as mean-reverting dynamics (harmonic oscillators), momentum (inertia), and diffusion, and adapt them into simplified trading signals. Convert mathematical logic into parameterized models with testable conditions and evaluate preliminary strategies using historical data and simplified backtesting tools provided within the internal trading platform. In the collaborative model development aspect of the job, you will work with internal developers to translate logic and conditions into code-compatible formats. You will learn how trading rules are implemented using SDK-based infrastructure and Lua-based scripting. Real-time strategy testing is a crucial part of the role where you deploy your ideas in a test environment, observe their performance using live data, and use feedback to iterate and improve strategy quality and robustness. It is essential to understand practical trading constraints like risk management, execution delays, and edge preservation. This position is ideal for final year students or recent graduates with a strong foundation in logic and analytical thinking and an eagerness to apply theoretical knowledge in real-world financial markets. To be eligible, you should be a final year student or recent graduate in Mathematics, Physics, Engineering, or any quantitative discipline. A strong interest in numbers, logic, and patterns is required, along with a basic understanding of algebra, probability, or statistics. Exposure to coding (e.g., Python, C, or Excel macros) is a bonus but not necessary. Curiosity about markets or decision-making under uncertainty and being self-driven, eager to experiment, and open to feedback are qualities we value. We offer direct market exposure, hands-on learning, mentorship, merit-based growth opportunities, and freedom to explore your ideas. Top performers may get capital allocation and transition into trading roles. The date of joining for this role is July 2025. Candidates who have taken our recruitment process within the last 1 year are not eligible to apply.,

The job requires a technical systems expert with a strong background in physics and experience in adjusting ultrasonic sensor settings for automotive applications to achieve detection objectives. The ideal candidate should possess in-depth knowledge of ultrasonic sensor technology principles, calibration methods for temperature variations, and signal processing techniques for precise calibration and data interpretation. Moreover, the candidate must have the ability to analyze and interpret data produced by ultrasonic sensors to ensure their accuracy and reliability. Skills in identifying and resolving sensor calibration and performance issues, as well as experience in creating controlled testing environments for precise sensor calibration, are also desired. Familiarity with ISO standards related to automotive ultrasonics features is an added advantage for this role.,

You will be responsible for leading the design and development of ECG sensing circuits, analog/digital interfaces, and wearable device components including BLE, ensuring high accuracy and low power consumption. Your role will involve creating and prototyping new hardware designs, conducting thorough testing and validation, and iterating designs based on performance data. Additionally, you will work closely with firmware/software engineers to ensure smooth integration of hardware with firmware, ensuring real-time ECG data acquisition, signal processing, and transmission. Designing power-efficient solutions for long-lasting battery life and ensuring the device operates efficiently with minimal power consumption will be a crucial aspect of your responsibilities. You will also need to ensure that all hardware designs comply with medical device standards (such as FDA, CE, and IEC) and industry regulations, leading regulatory testing to ensure compliance to the various applicable testing. Collaboration with other teams, mentorship of junior engineers, and support of the product lifecycle from concept to production will also be part of your role. Staying current with advancements in wearable technology, ECG sensing methods, and hardware design to bring cutting-edge solutions to the market, as well as providing technical guidance during the manufacturing process to ensure high-quality production standards are met and addressing any engineering issues that arise, are essential responsibilities. You will also use test and measurement apparatus to ensure that firmware functions per design requirements and strive for top-quality results, continuously looking for ways to improve and enhance system reliability, performance, security, and automation. To be successful in this role, you should have a Bachelor's degree or higher in Electrical Engineering, Electronics, or a related field, along with at least 5 years of experience in PCB design, with a specific focus on high-performance, low-power electronics in wearable or medical device applications. Proficiency with PCB design tools (e.g., Altium Designer, Cadence, KiCad) for schematic capture, layout, and simulation, deep understanding of signal integrity, electromagnetic compatibility (EMC), and methods for reducing noise in high-precision analog circuits (especially ECG signals) are required. Experience with Design for Manufacturability (DFM) and Design for Assembly (DFA) principles, strong knowledge of PCB fabrication processes, and familiarity with regulatory standards and certifications applicable to medical device hardware are also necessary. Strong written and verbal communication skills, experience working with wearable technology or ECG sensors, familiarity with 3D CAD tools, manufacturing process knowledge, power management circuit design experience, and embedded software development experience are desirable qualifications for this role.,

We are seeking a highly skilled Level 3 Vibration Analyst to monitor and analyze data from live sensors and collaborate with the data science team to develop advanced analytics pipelines. The ideal candidate will possess a strong background in vibration analysis, predictive maintenance, and signal processing, as well as experience in working with large datasets and machine learning models. Key Responsibilities - Monitor and analyze real-time vibration data from live sensors to detect potential faults and anomalies in rotating machinery. - Perform in-depth vibration analysis, including time-waveform analysis, spectral analysis, and envelope detection to identify failure modes. - Collaborate with the data science team to develop machine learning-based analytics pipelines for predictive maintenance. - Validate and interpret analytical insights generated by AI/ML models to enhance diagnostic accuracy. - Assist in the selection, installation, and calibration of vibration monitoring sensors. - Develop and uphold standards for data acquisition, signal processing, and condition monitoring strategies. - Provide technical expertise in root cause analysis and suggest corrective actions to minimize equipment failures. - Document and report findings, generating detailed analysis reports for engineering and maintenance teams. - Conduct training sessions for junior analysts and maintenance teams to improve understanding of vibration monitoring and analysis. Key Requirements - Certification: Level 3 Vibration Analyst certification (ISO 18436-2) is mandatory. - Experience: Minimum 5 years of experience in vibration analysis and condition monitoring of rotating equipment. - Technical Skills: Strong knowledge of vibration diagnostics, signal processing techniques, and spectral analysis. - Software Proficiency: Experience with vibration analysis software such as Emerson CSI, SKF, Pruftechnik, or similar tools. - Data Science Collaboration: Familiarity with machine learning concepts and ability to collaborate with data scientists on model development. - Industry Knowledge: Experience in industries such as manufacturing, oil & gas, power plants, or similar environments. - Communication Skills: Strong ability to interpret and communicate findings to technical and non-technical stakeholders. - Problem-Solving: Analytical mindset with a proactive approach to troubleshooting and reliability improvement. Join Us to - Work with cutting-edge sensor technology and AI-driven analytics. - Be part of a collaborative environment that integrates domain expertise with data science. - Explore career growth opportunities in an innovative and technology-focused organization. - Enjoy a competitive salary and benefits package. If you are passionate about vibration analysis and predictive maintenance, we look forward to hearing from you!,

Presage Insights is a cutting-edge startup specializing in predictive maintenance. The platform leverages AI-powered diagnostics to detect and diagnose machine failures, integrating with an inbuilt CMMS (Computerized Maintenance Management System) to optimize industrial operations. The company is expanding its capabilities in time series analysis and LLM-powered insights. As a Machine Learning Intern at Presage Insights, you will work on real-world industrial datasets, applying AI techniques to extract insights and enhance predictive analytics capabilities. Your role will involve collaborating with the engineering team to develop, fine-tune, and deploy LLM-based models for anomaly detection, trend prediction, and automated report generation. Key Responsibilities: - Research and implement state-of-the-art LLMs for natural language processing tasks related to predictive maintenance. - Apply machine learning techniques for time series analysis, including anomaly detection and clustering. - Fine-tune pre-trained LLMs (GPT, LLaMA, Mistral, etc.) for domain-specific applications. - Develop pipelines for processing and analyzing vibration and sensor data. - Integrate ML models into the existing platform and optimize inference efficiency. - Collaborate with software engineers and data scientists to improve ML deployment workflows. - Document findings, methodologies, and contribute to technical reports. Required Qualifications: - Pursuing or completed a degree in Computer Science, Data Science, AI, or a related field. - Hands-on experience with LLMs and NLP frameworks such as Hugging Face Transformers, LangChain, OpenAI API, or similar. - Strong proficiency in Python, PyTorch, TensorFlow, or JAX. - Solid understanding of time series analysis, anomaly detection, and signal processing. - Familiarity with vector databases (FAISS, Pinecone, ChromaDB) and prompt engineering. - Knowledge of ML model deployment (Docker, FastAPI, or TensorFlow Serving) is a plus. - Ability to work independently and adapt to a fast-paced startup environment. What You'll Gain: - Hands-on experience working with LLMs & real-world time series data. - Opportunity to work at the intersection of AI and predictive maintenance. - Mentorship from industry experts in vibration analysis and AI-driven diagnostics. - Potential for a full-time role based on performance. Note: This is an unpaid internship.,

Role Name - Sr Medical safety advisor Education qualification - MBBS/MD. Location - Home Based. Work exp - Aggregate Report and Signal Mgt. Job Overview The objective of this position is to provide medical expertise in the evaluation of safety data from a variety of sources as part of the overall pharmacovigilance process and determine the medical and scientific relevance of serious adverse event reports within the context of the products safety profile as well as other products within the same therapeutic area. Also, this position plays a greater role as a senior technical leader and participate in matrix management activities including preparation or participation in evaluating safety issues and preparation of aggregate reports in collaboration with the Post-Marketing Safety Experts and Safety Surveillance Group and be responsible for surveillance activities for selected products. Essential Functions • Perform medical review and clarification of trial-related Adverse Events (AEs) and post-marketing adverse drug reactions (ADRs) including narrative content, queries, coding, expectedness, seriousness, causality and company summary • Compose, edit and medically review Analyses of Similar Events (AOSE) for expedited cases as appropriate based on regulatory requirements • Provide coding review of AEs, SAEs, SADRs, Past medical history, Concomitant medications or other medical data listings to verify and medically vet clinical data • Serve as an internal consultant to pharmacovigilance case processing teams on projects being supported • Perform medical safety review of the protocol, Investigative Brochure, and/or Case Report Forms (CRFs) for appropriate safety content and data capture, as applicable • Provide aggregate reviews of safety information, including but not limited to clinical data, post marketing, literature review and observational studies to maintain oversight of a products safety profile (e.g: DSUR, RMP, PBRER, ad hoc regulatory reports etc) • Ensure service delivery from productivity, compliance and quality perspective within regulatory /contracted timelines. Lead and participate in the initiatives taken for the same from team delivery perspective. • Provide therapeutic area/pharmacovigilance issue guidance in the context of leading/managing other safety team members in single case assessment. • Ensure update of watch list, list of expectedness, labeling list/RSIs etc. for the assigned products and develop such additional capabilities within the team • Lead, drive and participate in training activities, product transitions, audit preparation and knowledge exchange initiatives • Review and sign off on the Project Safety Plan and Medical Monitoring Plan per medical safety scope agreed in contract, as applicable • Attend project meetings, medical safety team meetings, and represent safety and clinical data review findings during client meetings, as applicable • Act as Lead Safety Physician, or additional team support, and/or back up on assigned projects as applicable • Provide medical escalation support for medical information and EU Qualified Persons for Pharmacovigilance projects, as applicable • 24-hour medical support as required on assigned projects • Maintain awareness of medical safety-regulatory industry developments • Provide support and participate in signal detection efforts, e.g. strategy meetings etc. as applicable Qualifications • Other A medical degree from an accredited and internationally recognized medical school with a curriculum relevant to general medical education. Req • Three (3 years) experience practicing clinical medicine after award of medical degree. Graduate, and/or Residency training can qualify for clinical practice experience Req. • Two (2) years of pharma experience Pref • Sound knowledge of Medicine • In-depth knowledge of applicable global, regional, and local clinical research regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines • Knowledge of Pharmacovigilance- ICSR and Aggregate reports • In-depth knowledge of departmental standard operating procedures (SOPs) • Skill in use of multiple safety databases • Adequate Computer skills, especially Microsoft word, excel & PowerPoint • Good communication skills- verbal and written • Ability to establish and maintain effective working relationships with managers, co-workers, investigative site staff, clients, and regulatory agency representatives • Ability to establish and maintain effective working relationships with coworkers, managers, and clients • A valid medical license, or equivalent, from the country or region in which he/she resides and works Preferred.

Role name - Assoc Medical safety director. Location - Home Based. Education Qualification - MBBS/MD. Experience - Aggregate Report and Signal Management. Job Overview Provide medical expertise on pharmacovigilance services to divisions as requested. The Associate Medical Safety Director participates in all aspects of Medical Safetys involvement on assigned trials and standalone safety projects with appropriate oversight from management or more senior medical safety directors. Essential Functions • Perform medical review and clarification of trial-related Adverse Events (AEs) and post-marketing adverse drug reactions (ADRs) including narrative content, queries, coding, expectedness, seriousness, causality, and company summary • Compose, edit, and medically review Analyses of Similar Events (AOSE) for expedited cases as appropriate based on regulatory requirements • Serve as an internal consultant to pharmacovigilance case processing teams on projects being supported • Provide aggregate reviews of safety information, including clinical data, to maintain oversight of a products safety profile • Provide coding review of AEs, Past medical history, Concomitant medications, or other medical data listings to verify and medically vet clinical data • Represent safety and clinical data review findings during client meetings • Provide medical review and edits to IND Annual Reports, EU Periodic Benefit Risk Evaluation Reports, EU Periodic Safety Update Reports, EU Development Safety Update Reports, US Periodic Reports • Provide medical review and edits of Development Risk Management Plans, EU Risk Management Plans or US Risk Evaluation and Mitigation Strategies • Provide medical oversight for label development, review, and change • Provide medical support and attendance at Data Safety Monitoring Board Meetings • Attends and contributes medical safety evaluation on Safety Monitoring Committees • Provide medical safety contributions to the Integrated Safety Summary or Common Technical Document • Provide medical review and edits to Drug Safety Reports or other benefit-risk assessments • Review and sign off on both the Project Safety Plan and the Medical Monitoring Plan per medical safety scope agreed in contract • Perform Medical Safety review of the protocol, Investigative Drug Brochure (IDB), and/or Case Report Forms (CRFs) for appropriate safety content and data capture. • Act as Global Safety Physician or Assistant or Back-up on projects as assigned • Attend project meetings, medical safety team meetings, and client meetings as requested • Ensure coverage for all medical safety deliverables within regulatory or contracted timelines • Provide medical escalation support for medical information projects • Provide medical escalation support for EU Qualified Persons for Pharmacovigilance projects • 24-hour medical support as required on assigned projects • Maintain awareness of medical-safety-regulatory industry developments Qualifications • Other A medical degree from an accredited and internationally recognized medical school with a curriculum relevant to general medical education Req • Three (3) years of clinical practice experience (e.g. graduate medical training) with two (2) additional years in the pharmaceutical or associated industry in any role. Or equivalent combination of education, training, and experience Req • Knowledge of applicable federal and local regulations and guidelines pertaining to clinical research including knowledge of regulations and guidelines pertaining to safety and good clinical practice • Knowledge of clinical trials and pharmaceutical research process • Ability to establish and meet priorities, deadlines, and objectives. • Skills in providing consultation and advice on multiple assignments required, as well as initiative and flexibility. • Ability to establish and maintain effective working relationships with coworkers, managers, and clients • A valid medical license, or equivalent, from the country or region in which he/she resides and works Pref.

Job Description Summary Role Summary/Purpose As a Research Engineer Electrical Systems Engineering, you will independently execute and contribute to technology programs in design, modeling, analysis and control of advanced electrical power conversion systems, developing advanced power electronics topologies leveraging recent advancements in components, packaging and controls and deliver solutions for high power density, cost and performance for power conversion to various GE Vernova business segments including renewable energy, and grid electrification Job Description Roles and Responsibilities As a Research engineer, you will: Simulate, analyze and design advanced electrical power conversion systems consisting of electromechanical systems, power electronics and controls. Develop and implement in hardware the advanced controls of electrical system. Conduct power electronics research involving modeling and simulation of components and circuits, design of power electronic circuits and controls, and test of lab scale circuit and system prototype Design and implement controls for power electronics circuits and systems with technical guidance Collaborate with both GE Vernova product engineers and with global research team members on technical projects Own program execution including identification and mitigation risks Write and orally represent the research to its business customers and at technical conferences Work with multi-disciplinary boarder team or independently deliver based on the requirements of project Deliver on technical projects with set timelines and cost Develop an in-depth understanding of key business drivers; use this understanding to accomplish your own work. Gain an in-depth understanding of how work of your own team integrates with other teams and actively contribute to the area. Use some level of judgment and have the ability to propose different solutions outside of set parameters but with guidance. Use prior experience and on-the-job training to solve straightforward tasks. Have access to technical skills and analytic thinking required to solve problems. May use multiple internal sources outside of your own team to arrive at decisions. Have proven interpersonal skills and provide informal guidance to new team members Required Qualifications Doctorate degree in Electrical Engineering or related field or a Masters degree in Electrical Engineering or related field with at least 4 years of industry experience in an advanced technology development environment designing, building and testing power electronics and controls Strong expertise in simulation and analysis of electrical systems and electro mechanical system Understanding of power devices, their gate drives and electrical machines Understanding of thermal management of power electronic circuits Hands-on PCB design, hardware design and build experience in power circuits and systems Experience in system simulation tools such as PLECS, Matlab/Simulink, PSCAD etc. Experience in FPGA, Verilog, PCB design Excellent communication and presentation skills Ability to work independently as well as in collaborative team environment Unfailing dedication to deadlines and commitments Desired Characteristics Strong oral and written communication skills. Demonstrated ability to analyze and resolve problems. Ability to document, plan, market, and execute programs. Established project management skills. Experience in Wind Electrical system, Converter, converter control and grid integration of renewables Experience in power converter and control for high frequency high power applications Experience in C++, Visual Studio Understanding of Signal Processing, EMI is an added advantage

Roles and responsibilities Develop novel AIML algorithms and methodologies applicable to control systems engineering and anomaly detection problems. Analyse large time series datasets to identify patterns, trends, and insights to deliver algorithms dealing with diagnostics and prognostics of large energy equipment. Implement and optimize AIML algorithms and models. Design and conduct experiments to test the performance and robustness of AIML-based solutions. Document research findings, methodologies, and implementation details for knowledge sharing and future reference. Collaborate with cross-functional teams, including engineers, researchers, and product managers, to integrate AIML solutions into existing system platforms. Keep abreast of the latest advancements in AIML, control systems, and signal processing engineering through literature review and participation in relevant conferences and seminars. Required Qualifications PhD with 2 - 5 Years Experience or Masters degree with 5 - 7 Years Experience from a reputed institution in Computer Science or other engineering field. Strong understanding of fundamental concepts in statistics, machine learning, and artificial intelligence. Proficiency in programming languages commonly used in AIML applications such as Python, PySpark, PyTorch, Pandas, or similar. Experience with data analysis and manipulation using tools like Pandas, NumPy, or MATLAB. Familiarity with software development best practices, including version control (e.g., Git) and agile methodologies. Basic knowledge of cloud-based architectures Excellent problem-solving skills and ability to think critically and creatively. Strong communication skills and ability to work effectively in a collaborative team environment. Demonstrated ability to build prototypes and quickly develop proof of concepts to show solution feasibility.

Location: Chennai, Tamil Nadu, India Job ID: R0099823 Date Posted: 2025-09-03 Company Name: HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED Profession (Job Category): Engineering & Science Job Schedule: Full time Remote: No Job Description: Business Information: Our Indian Operations Centre (INOPC ) is a competence center with around 2600+ skilled engineers who focus on tendering, engineering, planning, procurement, functional system testing, installation supervision, and commissioning. Over the last decade, INOPC has evolved to become the largest engineering hub serving more than 40 countries across different energy sectors. The team caters to the four business units Transformers, Grid Integration, Grid Automation, High Voltage and has successfully executed engineering and commissioning for projects in more than 80 countries. Hitachi Energy is a world leader in the area of Power Quality Solutions (PQS). Hitachi Energy was the first to introduce Flexible AC Transmission System (FACTS) technology to the power industry and has delivered solutions for the more than 50 years now. Hitachi Energy has a number of solutions that enhance the security, capacity and flexibility of power transmission systems. These solutions enable power grid owners to increase existing transmission network capacity while maintaining or improving the operating margins necessary for grid stability. Hitachi Energy has the full FACTS portfolio and in-house manufacturing of key components. Main Accountabilities: Hitachi Energy uses a very high-end system for its control, protection and monitoring. This system is called as MACH. This computerized system is built with the state-of-the-art electronics, microprocessors and digital signal processors, connected by high performance industry standard busses and fiber optic communication links. They operate on very high standard application software designed by the control design team for which there is a need for experienced control system engineers. The system being continuously evolving, becoming more complex and customized, great deal of test & verification are required. Your Responsibilities: Design and implementation, verification, and commissioning of the MACH control system to meet our customer s requirements. Responsible for design, time schedule, budget, and quality of deliverables during the entire project execution process for control scope Extensive contact with other engineering groups, the project manager, local ABB offices and externally to our customer during factory acceptance and commissioning phase. Ready for travel to sites to support commissioning of MACH system Design & testing of Control logics . Responsible for Hardware Integration, interfacing with RTDS, Factory Acceptance Test, Customer meetings, Site testing, Test records documentation. Living Hitachi Energy s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background: Education Qualification: ME Power Systems / ME Power Electronics. Candidate should have 3+ years experience in Design and testing of PI/PID or similar control algorithms. Should have knowledge in Knowledge on FACTS applications. Experience in simulation using Matlab or Real Time Simulators Good knowledge on power system - signal processing, active and reactive power concepts will be an added advantage. Knowledge on power electronic devices will be an added advantage. Individual contributor using in-depth knowledge in a specific area to execute complex or specialized projects / challenges often thinking independently to challenge traditional solutions. Comprehensive knowledge of related disciplines in the organization. Works independently, applying established standards. Excellent English speaker, good communication skills. Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

The role of a computer vision engineer involves analyzing RGB and 3D camera streams to identify human key markers such as parental interventions, baby presence, baby sleep states, and health analytics within a resource constrained embedded system. This is achieved by utilizing a combination of classical DSP and neural networks to translate scientific concepts like optical flow, signal extraction, and real-time inference into code that runs on embedded Linux. One of the responsibilities includes leading data collection campaigns by setting up annotated video datasets under various lighting conditions. Analyzing vast amounts of vision data for patterns in both 3D and RGB formats is also a crucial aspect of the role. Additionally, building and refining computer vision pipelines in Python using OpenCV or neural networks to detect and track baby movement, posture, and breathing is essential. Furthermore, the role requires cross-compiling and deploying vision modules to ARM-based SoCs while optimizing for CPU/GPU constraints and power budgets. It would be advantageous for candidates to have 5-8 years of prior experience in computer vision engineering and signal processing. Proficiency in Python and OpenCV for tasks such as image processing, filtering, optical flows, SVD, and PCA is highly desirable. Hands-on experience with deep learning vision frameworks like TensorFlow and PyTorch, as well as model quantization for edge inference, is considered a plus. A strong understanding of traditional DSP techniques and linear algebra is also beneficial for this role.,

At Yuja, a highly scalable and modular platform for on-demand shared mobility and last-mile connectivity is being developed. The development process involves various dimensions, providing a unique opportunity to work on deep tech solutions. The tech stack includes IoT devices for smart shared services, ML and data workflows, user experiences, and a focus on accessibility. Original thinking, experimentation, and measurable product development are emphasized. As a role at Yuja, you will be responsible for understanding product use cases and developing workflows for ML-driven features. This includes developing and maintaining dynamic ML models, ML-oriented testing procedures, algorithm research, and development. You will plan data collection programs, conduct model testing, and system feature testing. Additionally, deploying real-time algorithms, heuristics, and ML models, integrating ML workflows with other system components, and building reusable code are part of the role. Participation in DevOps and MLOps workflows, as well as managing internal or external resources, is required. The applications of ML/AI at Yuja span multiple domains such as time-series problems, agent-based modeling, image processing, contextual text generation, and recommendation. Highlighting your core experience in ML/AI in your application submission or resume is essential. Basic qualifications include a B.E./B.Tech. in Computer Science or related fields with experience in machine learning, image and signal processing, or statistics. Strong knowledge of probability theory, statistics, calculus, vector algebra, and ML algorithms is required. Proficiency in Python, data structures, algorithms, and ML pipeline is necessary. Experience with AWS/GCP ML stack, industry-standard ML frameworks, databases, and excellent communication skills are also key requirements. Preferred qualifications include exposure to GIS, graph theory, agent-based modeling, optimization theory, MLOps tools, spatial data analysis, containerization, and data visualization. The job type is full-time and permanent with a requirement to commute/relocate to Ahmedabad, Gujarat. Applicants should have 2+ years of experience, with education at the Bachelor's level. The application deadline is 07/03/2025, and the expected start date is 17/03/2025.,

As a Bell Labs Radio Systems Intern - Semantic Communication, you will be part of the team dedicated to making breakthroughs in wireless communications. Your role will involve working on semantic communication for 6G and beyond, focusing on new algorithms, concepts, and systems. This 4-month internship will take place onsite in Bengaluru, India. Your responsibilities will include identifying the state-of-the-art of the proposed project, conducting relevant analysis, proposing solutions, implementing these solutions, evaluating performance, comparing against legacy benchmarks, and providing conclusions and recommendations. Additionally, you will document technical details, make internal presentations, and write technical reports for potential publications in conferences or journals. To excel in this role, you should possess self-motivation, strong troubleshooting skills, and a background in wireless communication, signal processing, and machine learning. A track record of scientific publications is desired, along with hands-on experience in machine learning projects and knowledge/experience in semantic communication. Research experience in wireless communication will be an added advantage. Nokia is committed to innovation and technology leadership in mobile, fixed, and cloud networks. Working at Nokia will not only impact people's lives positively but also contribute to building a more productive, sustainable, and inclusive world. The company fosters an inclusive working environment where new ideas are welcomed, risks are encouraged, and authenticity is valued. As part of Nokia, you will have access to continuous learning opportunities, well-being programs, employee resource groups, mentoring programs, and diverse teams with an inclusive culture. Nokia is an equal opportunity employer that values inclusion and has been recognized for its commitment to equality and ethics. Joining Nokia Bell Labs means becoming part of a team that has a rich history of foundational technology inventions. With numerous awards and accolades to its name, Nokia Bell Labs is at the forefront of innovation in information and communications networks.,

At Cadence, we are dedicated to hiring and developing leaders and innovators who are eager to leave a mark on the technology industry. With over 30 years of expertise in computational software, Cadence stands as a pivotal leader in electronic design. Our Intelligent System Design strategy serves as the foundation for delivering cutting-edge software, hardware, and IP that transform design concepts into reality. Collaborating with some of the world's most innovative companies across various dynamic market applications, including consumer electronics, hyperscale computing, 5G communications, automotive, aerospace, industrial, and healthcare, Cadence continues to drive innovation and excellence. As a part of the Cadence team, you will have the opportunity to work on state-of-the-art technology in a stimulating environment that fosters creativity, innovation, and impactful contributions. Our employee-friendly policies prioritize the physical and mental well-being of our team members, support career development, offer continuous learning opportunities, and recognize and celebrate success tailored to individual needs. The unique One Cadence - One Team culture promotes collaboration and teamwork to ensure customer success. We currently have an exciting opening within the Electrical Validation team at Cadence Design Systems in Bangalore for the position of "Lead Design Engineer." In this role, you will be responsible for conducting pre and post-silicon Physical Layer Electrical Validation on Cadence's High-Speed SERDES IP. Key activities include designing the necessary hardware and software infrastructure for validation, implementing test suites to ensure compliance with Physical Layer Electrical specifications, debugging silicon issues, and preparing detailed test reports for customers. We are seeking candidates who meet the following qualifications: Minimum Qualifications: - Hold a BE/BTECH/ME/MTECH or equivalent degree - Possess 3-4 years of experience (with Btech) or 1-2 years of experience (with Mtech) in Post-Silicon Physical Layer Electrical Validation - Demonstrate experience in Physical Layer electrical validation for at least one High-Speed SERDES protocol such as PCIe, USB, DP, Ethernet, SRIO, JESD204, DDRIO - Have hands-on experience with lab equipment like Oscilloscopes, Network Analyzers, and Bit Error Rate Testers (BERT) Preferred Qualifications: - Show passion for analog and digital electronic circuit design as well as signal processing aspects - 1-2 years of experience in FPGA Design, PCB schematic and layout design & Prototyping is a plus - Experience in Pre-Silicon IP/SoC Physical Layer Electrical Validation for board bring-up & Debug - Familiarity with RTL coding for FPGA, Labview, Python, C/C++, TCL Join us at Cadence, where we are committed to making a difference and solving challenges that others cannot.,

About The Role Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Detailed About The Role Hands on experience in Sensor Data Analysis Good experience in Embedded Software Development for rapid prototyping Good experience in Model-Based Design using MATLAB Embedded Hardware Integration & Testing Required Skills Programming Languages MATLAB, Python, C, C++ Electronic Hardware Design Sensor Signal Processing Exposure Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Software Engineer-Imaging Do you want work on the cutting edge technology Do you enjoy being part of a successful team Join our Industrial & Energy technologies team We design and manufacture a range of sensing instrumentation that are utilised in a vast array of market segments. Our Software teams design, prototype, validate, and certify next-generation industrial sensing systems. We collaborate with teams to solve complex technical challenges and design future innovations. Take ownership for creating future enhancements Baker Hughes Digital is looking for a passionate and experienced Software Engineer to join our team focused on developing advanced ultrasound imaging solutions for Non-Destructive Testing (NDT) applications. The ideal candidate will have deep expertise in graphics programming using OpenGL, Vulkan, and related APIs, and a strong understanding of imaging systems and signal processing in industrial environments. As a Software Engineer, you will be responsible for: Programming a feature and or a small feature set. Contributing to the team and works with direction from the Senior Team Members or management but works independently. Designing and implementing high-performance visualization pipelines for ultrasound imaging in NDT applications. Developing GPU-accelerated rendering and image processing algorithms using OpenGL, Vulkan, and shader programming. Collaborating with domain experts to translate acoustic data into meaningful visual representations for defect detection and material evaluation. Optimizing imaging performance for real-time rendering and analysis on embedded and desktop platforms. Integrating imaging modules with broader NDT software systems, including data acquisition and analysis tools. Maintaining and enhancing existing imaging frameworks, ensuring scalability and robustness. Fuel your passion To be successful in this role you will: Have a Bachelors Degree or Masters in Computer Science or related engineering field with a minimum years of 5 years of professional experience in software development with a focus on graphics and imaging. Have a Strong proficiency in C/C++ and graphics APIs such as OpenGL, Vulkan, or DirectX. Have Experience with modern C++ standards (C++11 and above). Have Expertise in Qt framework and graphics APIs (OpenGL/Vulkan) preferably on Linux OS Have Experience with shader languages (GLSL, HLSL, SPIR-V) and GPU compute. Have a good understanding of computational software principles and performance optimization techniques. Have Excellent debugging and performance optimization skills. Have Proficiency in UML and software documentation. Be Proficient in working with Linux-based operating systems Work in a way that works for you We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other. Working for you Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities Comprehensive private medical care options Safety net of life insurance and disability programs Tailored financial programs Additional elected or voluntary benefits

Design, train, and optimize deep learning models for edge AI use cases: Computer vision (e.g., object detection, image classification, segmentation) Audio/speech processing (e.g., wake word detection, denoising) Signal processing across multimodal sensor data Develop scalable and efficient model training and evaluation pipelines. Quantize, prune, and compress models for real-time inference on NPUs, DSPs, and microcontrollers. Conduct applied research and benchmark new model architectures or techniques for edge deployment. Prepare and curate training/validation datasets using best practices for data quality and balance. Collaborate with embedded software engineers to integrate models into edge production environments. Monitor model performance, perform error analysis, and iterate for continuous improvement. Document model architectures, assumptions, and deployment requirements for stakeholders. Requirements Masterdegree (or equivalent experience) in Computer Science, Machine Learning, or a related discipline. 5+ years of hands-on experience in developing, optimizing, and deploying ML models in production. Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, ONNX , and tools like OpenCV , Ultralytics , or equivalent. Demonstrated experience with edge inference optimization : Model quantization and compression Deployment on NPUs , DSPs , or microcontrollers Familiarity with ARM Ethos-U/Vela , TensorRT , TFLite , or similar edge AI compilers is a strong plus. Solid understanding of signal processing for image, audio, and other sensor modalities. Experience with cloud-based training pipelines (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills, with a track record of innovation. Excellent communication and documentation skills.

Software Engineer-Imaging Do you want work on the cutting edge technology Do you enjoy being part of a successful team Join our Industrial & Energy technologies team We design and manufacture a range of sensing instrumentation that are utilised in a vast array of market segments. Our Software teams design, prototype, validate, and certify next-generation industrial sensing systems. We collaborate with teams to solve complex technical challenges and design future innovations. Take ownership for creating future enhancements Baker Hughes Digital is looking for a passionate and experienced Software Engineer to join our team focused on developing advanced ultrasound imaging solutions for Non-Destructive Testing (NDT) applications. The ideal candidate will have deep expertise in graphics programming using OpenGL, Vulkan, and related APIs, and a strong understanding of imaging systems and signal processing in industrial environments. As a Software Engineer, you will be responsible for: Programming a feature and or a small feature set. Contributing to the team and works with direction from the Senior Team Members or management but works independently. Designing and implementing high-performance visualization pipelines for ultrasound imaging in NDT applications. Developing GPU-accelerated rendering and image processing algorithms using OpenGL, Vulkan, and shader programming. Collaborating with domain experts to translate acoustic data into meaningful visual representations for defect detection and material evaluation. Optimizing imaging performance for real-time rendering and analysis on embedded and desktop platforms. Integrating imaging modules with broader NDT software systems, including data acquisition and analysis tools. Maintaining and enhancing existing imaging frameworks, ensuring scalability and robustness. Fuel your passion To be successful in this role you will: Have a Bachelors Degree or Masters in Computer Science or related engineering field with a minimum years of 5 years of professional experience in software development with a focus on graphics and imaging. Have a Strong proficiency in C/C++ and graphics APIs such as OpenGL, Vulkan, or DirectX. Have Experience with modern C++ standards (C++11 and above). Have Expertise in Qt framework and graphics APIs (OpenGL/Vulkan) preferably on Linux OS Have Experience with shader languages (GLSL, HLSL, SPIR-V) and GPU compute. Have a good understanding of computational software principles and performance optimization techniques. Have Excellent debugging and performance optimization skills. Have Proficiency in UML and software documentation. Be Proficient in working with Linux-based operating systems Work in a way that works for you We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other. Working for you Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities Comprehensive private medical care options Safety net of life insurance and disability programs Tailored financial programs Additional elected or voluntary benefits

The ideal candidate for this position should have an ME/MTech qualification in Signal Processing, Communication Systems, or VLSI Design. You will be responsible for developing and implementing signal processing algorithms, firmware for various interfaces in Radar. You should possess hands-on experience in working with Embedded Hardware and Firmware designs. Your responsibilities will include algorithm development, simulation, and implementation using Vivado, Matlab, or Python. You will also be involved in Radar Subsystem integration and testing, Embedded Hardware, and Firmware development using FPGA, DSP, or Microcontroller. Additionally, you will work on high-speed ADC, DAC, DDR, Ethernet, and other peripheral interface designs with FPGA. To excel in this role, you should have experience with FPGA design tools such as Vivado, Vitis HLS, System Generator, and PCB/Schematic design tools like Cadence, Allegro PCB Editor. Knowledge of various communication protocols like Ethernet, Serial, CAN, VME, VPX, etc., will be beneficial. The ideal candidate should have at least 3 years of experience in firmware design, FPGA, or DSP, with a focus on radar applications. Proficiency in programming languages such as VHDL, Verilog, and C Programming is required. Knowledge of Radar Signal Processing, Matlab, and hands-on experience with Vivado FPGA tools is essential. Experience in RF-ADC/DAC, RFSoC interfaces, Python will be considered desirable for this position.,

As the Lead Hardware/Embedded Systems Scientist at Bodyloop Labs Pvt Ltd., you will be at the forefront of designing and developing miniaturized medical devices that capture and transmit critical health information in real-time. Your role will involve working on cutting-edge technology at the intersection of bioelectronics, embedded systems, and wireless communication to create innovative health monitoring solutions. Key Responsibilities: Lead the development of ultra-low-power embedded systems for implantable/wearable medical devices. Design and optimize hardware architecture, PCB layouts, and sensor integration for biomedical applications. Develop and test firmware and real-time embedded software for data acquisition and transmission. Ensure regulatory compliance with biocompatible materials and standards such as ISO 13485, IEC 60601, FDA, and CDSCO. Implement wireless communication protocols (BLE, NFC, RF, LoRa, or proprietary methods) for seamless health data transmission. Collaborate with clinical and regulatory teams to prepare for preclinical and clinical trials. Conduct failure analysis, risk assessment, and reliability testing for long-term device functionality. Requirements: Must-Have: Ph.D. or Masters in Embedded Systems, Electronics, Biomedical Engineering, or related field. 1+ years of experience in hardware design, embedded systems, and firmware development. Expertise in low-power microcontrollers (ARM Cortex, RISC-V, MSP430, etc.) and sensor integration. Hands-on experience with PCB design tools (Altium, KiCad, Eagle, etc.) and circuit debugging. Strong knowledge of wireless communication protocols and signal processing. Preferred: Prior work in implantable medical devices or invasive bioelectronics. Familiarity with energy harvesting technologies for long-term implantable systems. Experience in machine learning for biomedical signal processing. Prior startup experience or leadership in an R&D role. What We Offer: Competitive salary and performance-based bonuses. Opportunity to lead cutting-edge medical research with real-world impact. Flexible work environment and collaboration with top-tier industry experts. If you are passionate about biomedical technology and eager to contribute to the future of health monitoring and longevity, send your CV, portfolio, and a brief statement to dhiraj.mahajan@bodyloop.com. Join us in engineering the future of longevity!,

Staff Systems Engineer, WLAN Modem in Bangalore, India Staff Systems Engineer, WLAN Modem Description Millions of people experience Synaptics every day. Our technology impacts how people see, hear, touch, and engage with a wide range of IoT applications -- at home, at work, in the car or on the go. We solve complex challenges alongside the most influential companies in the industry, using the most advanced algorithms in areas such as machine learning, biometrics, and video processing, combined with world class software and silicon development. Synaptics is looking for an adaptable, enthusiastic, and reliable Staff Systems Engineer to form an integral part of our Bluetooth systems design team. You will work closely with the RF systems and MAC systems and software teams. The team plays a pivotal role in developing complex PHY algorithms design, implementation and bring-up of the chips for BT. Working within our team provides a unique opportunity to work across the engineering disciplines from algorithm design and to hardware implementation of the algorithms. This position reports to the Director, R&D. Responsibilities & Competencies Job Duties Responsible for Bluetooth PHY baseband algorithm development and system integration Working with RF/CHIP/SW team in validating and optimizing overall system performance Participate in the design and development of High Data Transmission (HDT) and Bluetooth Higher Band (HB) IPs. Work on the silicon bring-up and productization of existing Bluetooth IPs Collaborate with cross-functional teams to ensure the successful integration and deployment of Bluetooth solutions Competencies Solid background in communication theory and signal processing Experience working in wireless communication physical layers such as Bluetooth, Wireless LAN, Thread/Zigbee, UWB, etc. Proactive, self-starter, able to work independently in a fast-paced environment Well organized with strong attention to detail; proactively ensures work is accurate Positive attitude and work ethic; unafraid to ask questions and explore new ideas Resourceful and able to solve problems through adapting technology and a solid understanding of product architecture Good verbal and written communication skills Strong team player with the ability to work within a diverse team Qualifications (Requirements) Bachelor s degree in Communication Engineering or related field or equivalent 8+ years of experience working on systems engineering in modem design Experience in modem design in any wireless standard like WiFi/BT/LTE/5G Hands-on experience with chip bring-up, performance tuning and optimization of calibration algorithms Demonstrated experience partnering with colleagues and team members to optimize solutions and plan development, testing, and maintenance work Belief in Diversity Synaptics is an Equal Opportunity Employer committed to workforce diversity. Qualified applicants will receive consideration without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.

Job description Your future role: Take on a new challenge and apply your comprehensive radio design and engineering expertise in a new cutting-edge field. Youll work alongside innovative, collaborative, and dedicated teammates. You'll contribute to the delivery of N&T Sub-System Radio specifications and architecture that align with the System Delivery Plan. Day-to-day, you'll work closely with teams across the business (installation teams, cybersecurity teams, power experts), develop Radio Design requirements, and much more. You'll specifically take care of conducting Radio Interference and trackside surveys, but also preparing and executing Radio configuration files throughout the project lifecycle. Well look to you for: Elaborating detailed N&T Radio Design specifications and architectures Managing Radio spectrum in accordance with country-specific standards and regulations Collaborating with Product Architects to identify technology requirements and gaps Ensuring adherence to Quality processes and project milestones Minimizing N&T Radio deployment costs, lead times, and risks by design Supporting functional validation and Installation & Test & Commissioning (T&C) activities Collecting and consolidating Return of Experience (REX) to inform continuous improvement All about you We value passion and attitude over experience. That's why we don't expect you to have every single skill. Instead, we've listed some that we think will help you succeed and grow in this role: A Bachelor's or Masters degree in Engineering Experience or understanding of radio deployments in industrial environments Knowledge of Wi-Fi protocols and radio propagation Familiarity with monitoring tools and techniques (spectrum analyzer, IP analyzer) A certification in network or radio engineering (desirable) Resilience and adaptability in dynamic environments Ability to work collaboratively and lead technical coordination efforts Things you'll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You'll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with new security standards for rail signaling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilize our flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards roles with increased responsibility and complexity Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension).

Innovate to solve the worlds most important challenges Software development for Honeywell Airfield systems and solution domain Key Areas of Responsibility Work within the scrum team to build software solution Study requirements specifications to gain deeper understanding of performance expectations and coding requirements. Design, build and test functional codebase to meet business needs Contribute to DevOps pipeline including packing and distribution automation Understand end user scenarios and contribute to requirements and design reviews Understand/contribute to Acceptance Criteria and test case development for stories and verify the product/system against the same Develop unit level automation test scripts for stories and effectively utilize them during regression to reduce cycle time and improve quality YOU MUST HAVE Bachelor in Electronics, Computer Science or Information technology Technical Skills Experienced Deep learning models DNNs, CNNs, RNNs Knowledge in sensor fusion, signal processing, Kalman filters and machine learning methods Hands on experience in Lidars, camera and radar sensors Experience in object tracking using Lidar and Camera Soft Skills Good analytical thinking, troubleshooting problem solving skills, coupled with the drive to learn Good communication skills, both verbal and written Self-motivated and the ability to work independently without supervision Prepared to travel domestic or overseas as per project or business needs Ability to work together with different functional delivery teams