Senior Quality Assurance Engineer jobs at Philips

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a QA and Automation Engineer to join as a member of our international Raytracing Software Team. What you'll be doing: * Implementing CI/CD systems across many branches and products. * Implement automation for tracking performance changes across releases. * Own testing and tracking of customer benchmarks and test suites. * Build, develop and implement tests for the new features, as part of raytracing software and driver releases. * Report bugs found during execution, assist with bug reproduction and debug sessions to understand root cause, verify bug fixes provided by the team. * Integration testing with Drivers, Tools and Customer Applications. What we need to see: * B.S. in Computer Science or equivalent experience * 5+ years of shown experience in testing applications * Authority level proficiency with Jenkins and other orchestration systems * Independent, responsible and hardworking for computer engineering * Excellent communication skills (written and verbal) and interpersonal skills Ways to stand out from the crowd: * Experience with Computer Graphics (Raytracing) and Professional Rendering * Proficiency in C++, CMake, and GNU make * Validated experience with automation infrastructure develop and planning * Experience with QA Methodologies and testing tools * Hands-on experience with CI/CD and Test Development Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD for Level 3, and 152,000 USD - 247,250 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 16, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are seeking energetic, hardworking Software Quality Assurance Engineers to join our Customer Support Team and provide world-class support. Strong Windows OS knowledge and in-depth experience with various PC hardware, debugging technologies. Selected person will work closely with our customers, developers, PMs and internal teams on existing and upcoming NVIDIA products, new features, and technologies. What you'll be doing: * Work with software developers, program managers, and customers to investigate reported issues, assist in root cause determination, and verify reported defects are fixed. * Replicate Customer / End user reported issues. * Candidate will be working on the latest NVIDIA products and technologies and provide software technical support to our customers and partners. * Focus will be to analyze and reproduce issues reported by OEMs customers and partners. * Additional responsibilities include testing NVIDIA products on customer specific platforms to ensure compatibility and provide timely communication to cross-functional groups. * You will help triage, isolate, and resolve reported problems. * Develop and implement software tools that improves productivity. What we need to see: * Bachelor or Masters degree in Computer Science, Electronics, Software Engineering, or equivalent experience. * 5+ years' experience with 2+ years customer support or software -hardware testing experience required. * Experience troubleshooting and resolving hardware or software issues a must. * Deep understanding of the Windows OS. * Extensive scripting using Python required. * Deep knowledge of PC architecture, supercomputers, and computer clusters. * Must have extensive experience building, configuring, and troubleshooting PCs, or laptop systems. * Experience with debugging tools, memory dump analysis and remote debug. * Strong interest in or knowledge of CUDA, OpenCL, and deep learning AI. * The candidate should be willing to work flexible hours. Ways to stand out from the crowd: * Strong interest and knowledge of Generative AI and various LLMs. * Automation experience using C/C++, Ansible, Java, JavaScript. * Familiarity working with NVIDIA GPU hardware a strong plus as well as prior experience in PC Game Testing will be an added advantage. * Strong analytical & problem-solving skills, excellent interpersonal skills and should be able to handle multiple projects independently. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 25, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a QA and Automation Engineer to join as a member of our international Raytracing Software Team. What you'll be doing: * Implementing CI/CD systems across many branches and products. * Implement automation for tracking performance changes across releases. * Own testing and tracking of customer benchmarks and test suites. * Build, develop and implement tests for the new features, as part of raytracing software and driver releases. * Report bugs found during execution, assist with bug reproduction and debug sessions to understand root cause, verify bug fixes provided by the team. * Integration testing with Drivers, Tools and Customer Applications. What we need to see: * B.S. in Computer Science or equivalent experience * 5+ years of shown experience in testing applications * Authority level proficiency with Jenkins and other orchestration systems * Independent, responsible and hardworking for computer engineering * Excellent communication skills (written and verbal) and interpersonal skills Ways to stand out from the crowd: * Experience with Computer Graphics (Raytracing) and Professional Rendering * Proficiency in C++, CMake, and GNU make * Validated experience with automation infrastructure develop and planning * Experience with QA Methodologies and testing tools * Hands-on experience with CI/CD and Test Development Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD for Level 3, and 152,000 USD - 247,250 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 16, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been leading in visual computing and data center products for 20 years, focusing on GPUs for AI, robotics, and visual processing. At NVIDIA, we believe in nurturing an inclusive and cooperative work environment where everyone can thrive. We are dedicated to equipping our employees with the resources and chances they need to excel. Here, your contributions will be appreciated, and your professional development will be nurtured. Join us and become part of a team that is determined to make a difference in the world of technology! What you'll be doing: Build, develop, and implement automated test equipment (ATE) solutions. Collaborate with Reliability, Test, and Product engineering teams to develop efficient test strategies and methodologies on GPU/CPU products Implement test plans and procedures to successfully validate GPU/CPU on ATE testers include ATE systems, load boards/HW, and handling different temperature control systems (e.g., Sea Cobra, T-core), ATE plungers, and sockets Collaborate with cross-functional teams to define test requirements and specifications. Develop and implement test plans to ensure flawless product performance. Analyze and interpret test data to identify and resolve issues. Optimize test processes to improve efficiency and effectiveness. Support production teams to successfully implement test solutions. Participate in continuous improvement initiatives to drive excellence. What we need to see: A Bachelor's degree or equivalent experience in Electrical Engineering, Computer Engineering, or a related field. 2+ years of experience with ATE development and implementation. Strong knowledge of testing methodologies and quality assurance processes. Proficiency in programming languages such as Python, C/C++, or similar. Excellent problem-solving and analytical skills. The ability to work strictly to deadlines and thrive in a fast-paced environment. Strong communication and collaboration skills. A passion for innovation and a drive to compete at the highest levels. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 92,000 USD - 149,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 28, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a creative ATE Test Engineer. NVIDIA has continuously reinvented itself for three decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing - with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. We need a creative individual who will help transfer GPU, Tegra and Automotive products from design engineering to mass production. You will be exposed to various aspects of building and testing NVIDIA products, from chips to assembled boards. In addition, your responsibilities will include working with overseas manufacturing teams to increase yields, test coverage and capacity, and reduce production costs. If you are passionate about building the highest quality products that will change the world, then we really want to hear from you. What you'll be doing: Define, develop, implement, and support ATE test program bringup, characterization and production for our latest GPU/Tegra/Automotive products. ATE test program development includes constructing or enhancing test methods, debug and integration of timings/levels/patterns/TM and test flow into a test program. Own test methodologies and strive for continuous improvement of production testprograms quality/efficiency. Demonstrate good understanding of LB schematics and design to aid debug. Actively participate with cross functional teams including Product Development Engineering, DFT, and IC design to efficiently debug product failures and implement optimal solutions. Write and maintain scripts/tools for the test engineering group, enhance the group's overall productivity and effectiveness What we need to see: Bachelor Degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience). 3+ years of relevant experience in IC Design, application or ATE testing of VLSI. Working knowledge and hands-on experience with Advantest 93K ATE platform (SmarTest 8) is essential Critical thinking, good communication and collaboration skills Excellent debugging and analytical skills Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST. Ways to stand out from the crowd: Analog circuit design, PLL's System level testing/validation Knowledge of active thermal management Product engineering experience, such as yield analysis, vmin/fmax characterization, defect analysis Linux operating systems, and programming languages such as Perl/Python and/or C/C++, Java With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most thoughtful and talented people in the world working for us. Due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 2, and 128,000 USD - 201,250 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a creative ATE Test Engineer. NVIDIA has continuously reinvented itself for three decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing - with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. We need a creative individual who will help transfer GPU, Tegra and Automotive products from design engineering to mass production. You will be exposed to various aspects of building and testing NVIDIA products, from chips to assembled boards. In addition, your responsibilities will include working with overseas manufacturing teams to increase yields, test coverage and capacity, and reduce production costs. If you are passionate about building the highest quality products that will change the world, then we really want to hear from you. What you'll be doing: * Define, develop, implement, and support ATE test program bringup, characterization and production for our latest GPU/Tegra/Automotive products. * ATE test program development includes constructing or enhancing test methods, debug and integration of timings/levels/patterns/TM and test flow into a test program. * Own test methodologies and strive for continuous improvement of production testprograms quality/efficiency. * Demonstrate good understanding of LB schematics and design to aid debug. * Actively participate with cross functional teams including Product Development Engineering, DFT, and IC design to efficiently debug product failures and implement optimal solutions. * Write and maintain scripts/tools for the test engineering group, enhance the group's overall productivity and effectiveness What we need to see: * Bachelor Degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience). * 3+ years of relevant experience in IC Design, application or ATE testing of VLSI. * Working knowledge and hands-on experience with Advantest 93K ATE platform (SmarTest 8) is essential * Critical thinking, good communication and collaboration skills * Excellent debugging and analytical skills * Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST. Ways to stand out from the crowd: * Analog circuit design, PLL's * System level testing/validation * Knowledge of active thermal management * Product engineering experience, such as yield analysis, vmin/fmax characterization, defect analysis * Linux operating systems, and programming languages such as Perl/Python and/or C/C++, Java With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most thoughtful and talented people in the world working for us. Due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 2, and 128,000 USD - 201,250 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA DGX™ Cloud is an end-to-end, scalable AI platform for developers, offering scalable capacity built on the latest NVIDIA architecture and co-engineered with the world's leading cloud service providers (CSPs). We are seeking highly skilled Parallel and Distributed Systems engineers to drive the performance analysis, optimization, and modeling to define the architecture and design of NVIDIA's DGX Cloud clusters. The ideal candidate will have a deep understanding of the methodology to conduct end to end performance analysis of critical AI applications running on large scale parallel and distributed systems. Candidates will work closely with the multi-functional teams to define DGX Cloud cluster architecture for different CSPs, optimize workloads running on these systems and develop the methodology that will drive the HW-SW codesign cycle to develop elite AI infrastructure at scale and make them more easily consumable by users (via improved scalability, reliability, cleaner abstractions, etc). What you will be doing: Develop benchmarks, end to end customer applications running at scale, instrumented for performance measurements, tracking, sampling, to measure and optimize performance of meaningful applications and services; Construct carefully designed experiments to analyze, study and develop critical insights into performance bottlenecks, dependencies, from an end to end perspective; Develop ideas on how to improve the end to end system performance and usability by leading changes in the HW or SW (or both). Collaborate with external CSPs during the full life cycle of cluster deployment and workload optimization to understand and drive standard methodologies Collaborate with AI researchers, developers, and application service providers to understand difficulties, requirements, project future needs and share best practices Work with a diverse set of LLM workloads and their application areas such as health care, climate modeling, pharmaceuticals, financial futures, Genomics/Drug discovery, among others. Develop the vital modeling framework and the TCO analysis to enable efficient exploration and sweep of the architecture and design space; Develop the methodology needed to drive the engineering analysis to advise the architecture, design and roadmap of DGX Cloud What we need to see: 12+ years of proven experience Ability to work with large scale parallel and distributed accelerator-based systems Expertise optimizing performance and AI workloads on large scale systems Experience with performance modeling and benchmarking at scale Strong background in Computer Architecture, Networking, Storage systems, Accelerators Familiarity with popular AI frameworks (PyTorch, TensorFlow, JAX, Megatron-LM, Tensort-LLM, VLLM) among others Experience with AI/ML models and workloads, in particular LLMs Understanding of DNNs and their use in emerging AI/ML applications and services Bachelors or Masters in Engineering (preferably, Electrical Engineering, Computer Engineering, or Computer Science) or equivalent experience Proficiency in Python, C/C++ Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI, …) Ways to stand out from the crowd: Very high intellectual curiosity; Confidence to dig in as needed; Not afraid of confronting complexity; Able to pick up new areas quickly Proficiency in CUDA, XLA Excellent interpersonal skills PhD nice to have With competitive salaries and a generous benefits package (********************** ), we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 14, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Joining NVIDIA's DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI and Data infrastructure tools and services. Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation. We are seeking excellent Software Engineers to design and develop tools for AI application performance analysis. Your work will enable AI researchers to work efficiently with a wide variety of DGXC cloud AI systems as they seek out opportunities for performance optimization and continuously deliver high quality AI products. Join our technically diverse team of AI infrastructure experts to unlock unprecedented AI performance in every domain. What you'll be doing: Develop AI performance tools for large scale AI systems providing real time insight into applications performance and system bottlenecks. Conduct in-depth hardware-software performance studies Define performance and efficiency evaluation methodologies Automate performance data analysis and visualization to convert profiling data into actionable optimizations Support deep learning software engineers and GPU architects in their performance analysis efforts Work with various teams at NVIDIA to incorporate and influence the latest technologies for GPU performance analysis What we need to see: Minimum of 8+ years of experience in software infrastructure and tools BS or higher degree in computer science or similar (or equivalent experience) Adept programming skills in multiple languages including C++ and Python Solid foundation in operating systems and computer architecture Outstanding ability to understand users, prioritize among many contending requests, and build consensus Passion for “it just works” automation, eliminating repetitive tasks, and enabling team members Ways to stand out from the crowd: Experience in working with the large scale AI cluster Experience with CUDA and GPU computing systems Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, JAX/XLA etc.) Deep understanding of the software performance analysis and optimization process NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 25, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are seeking a Senior AI/ML Performance and Efficiency Engineer, GPU Clusters at NVIDIA to join our AI Efficiency efforts. As an Engineer, you will have a pivotal role in enhancing efficiency for our researchers by implementing progressions throughout the entire stack. Your main task will revolve around collaborating closely with customers to pinpoint and address infrastructure and application deficiencies, facilitating groundbreaking AI and ML research on GPU Clusters. Together, we can craft potent, effective, and scalable solutions as we mold the future of AI/ML technology! What you will be doing: Collaborate closely with our AI/ML researchers to make their ML models more efficient leading to significant productivity improvements and cost savings Build tools, frameworks, and apply ML techniques to detect & analyze efficiency bottlenecks and deliver productivity improvements for our researchers Work with researchers working on a variety of innovative ML workloads across Robotics, Autonomous vehicles, LLM's, Videos and more Collaborate across the engineering organizations to deliver efficiency in our usage of hardware, software, and infrastructure Proactively monitor fleet wide utilization patterns, analyze existing inefficiency patterns, or discover new patterns, and deliver scalable solutions to solve them Keep up to date with the most recent developments in AI/ML technologies, frameworks, and successful strategies, and advocate for their integration within the organization. What we need to see: BS or similar background in Computer Science or related area (or equivalent experience) Minimum 8+ years of experience designing and operating large scale compute infrastructure Strong understanding of modern ML techniques and tools Experience investigating, and resolving, training & inference performance end to end Debugging and optimization experience with NSight Systems and NSight Compute Experience with debugging large-scale distributed training using NCCL Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) in addition to experience with parallel computing frameworks and paradigms. Dedication to ongoing learning and staying updated on new technologies and innovative methods in the AI/ML infrastructure sector. Excellent communication and collaboration skills, with the ability to work effectively with teams and individuals of different backgrounds Ways to stand out from the crowd: Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking Experience with Machine Learning and Deep Learning concepts, algorithms and models Familiarity with InfiniBand with IBOP and RDMA Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads Familiarity with deep learning frameworks like PyTorch and TensorFlow NVIDIA offers competitive salaries and a comprehensive benefits package. Our engineering teams are growing rapidly due to outstanding expansion. If you're a passionate and independent engineer with a love for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for outstanding Senior AI Engineer - High Performance AI to build groundbreaking multi-agent systems for the CUDA ecosystem. We build innovative agentic runtimes and compiler-integrated orchestration that work together with NVIDIA's software stack to provide comprehensive acceleration for modern agent workloads powered by foundational models. As a member of the team, you will develop new agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven system solutions to accelerate agent planning, tool-use, code generation, and other high-impact AI workloads. You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What you'll be doing: Design, build and optimize agentic AI systems for the CUDA ecosystem. Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available. Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity. Collaborate across the AI stack-from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving-and with model/agent teams. What we need to see: Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred. 10 years+ industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks. Strong C/C++ and Python programming skills; solid software engineering fundamentals. Experience with GPU programming and performance optimization (CUDA or equivalent). Ways To Stand Out From The Crowd: Track record building/evaluating deep learning models, coding agents and developer tooling. Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms. Deep expertise in GPU performance optimizations, evidenced by benchmark wins or published results. Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards. Experience leading projects end-to-end, mentoring small teams; ability to drive concepts to production. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 1, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available Triage and root-cause performance issues reported by our customers Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information Collaborate with a very dynamic team across multiple time zones What we need to see: M.S. (or equivalent experience) or PHD in Computer Science, or related field with relevant performance engineering and HPC experience 3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM) Experience conducting performance benchmarking and triage on large scale HPC clusters Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals) Implement micro-benchmarks in C/C++, read and modify the code base when required Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker) Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones Ways to stand out from the crowd: Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control Experience debugging network issues in large scale deployments Familiarity with CUDA programming and/or GPUs Experience with Deep Learning Frameworks such PyTorch, TensorFlow Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 8, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Joining NVIDIA's AI Efficiency Team means contributing to the infrastructure that powers our leading-edge AI research. This team focuses on optimizing efficiency and resiliency of ML workloads, as well as developing scalable AI infrastructure tools and services. Our objective is to deliver a stable, scalable environment for NVIDIA's AI researchers, providing them with the necessary resources and scale to foster innovation. We're redefining the way Deep Learning applications run on tens of thousands of GPUs. Join our team of experts and help us build a supercharged AI platform that improves efficiency, resilience, and Model FLOPs Utilization (MFU). In this position you will be collaborating with a diverse team that cuts across many areas of Deep Learning HW/SW stack in building a highly scalable, fault tolerant and optimized AI platform. What you will be doing: Build AI models, tools and frameworks that provide real time application performance metrics that can be correlated with system metrics Develop automation frameworks that empower applications to thoughtfully predict and overcome system/infrastructure failures, ensuring fault tolerance. Collaborate with software teams to pinpoint performance bottlenecks. Design, prototype, and integrate solutions that deliver demonstrable performance gains in production environments. Adapt and enhance communication libraries to seamlessly support innovative network topologies and system architectures. Design or adapt optimized storage solutions to boost Deep Learning efficiency, resilience, and developer productivity. What We Need to See: BS/MS/PhD (or equivalent experience) in Computer Science, Electrical Engineering or a related field. 12+ years of proven experience in the following area: Analyzing and improving performance of training applications using PyTorch or similar framework Building distributed software applications using collective communication libraries such as MPI or NCCL or UCC Construct storage solutions for Deep Learning applications Building automated fault tolerant distributed applications Building tools for bottleneck analysis and automation of fault tolerance in distributed environments. Strong background in parallel programming and distributed systems Experience analyzing and optimizing large scale distributed applications. Excellent verbal and written communication skills Ways To Stand Out From The Crowd: Deep understanding of HPC and distributed system architecture. Hands on working experience in more than one of the above areas especially with large SOTA AI models, performance analysis and profiling of Deep Learning workloads. Comfortable navigating and working with the PyTorch codebase. Proven understanding of CUDA and GPU architecture Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 4, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work to amplify human inventiveness and intelligence. Choose to join us today. NVIDIA Silicon Solutions Group seeks a hardworking engineer to join a silicon HW team. As a team member, you will develop and validate system-level features with a deep understanding of product needs that will be delivered to notebook, desktop, embedded, automotive, and professional solution markets. Prior experience in the lab with system-level post-silicon bring-up and debug is highly desired. What you'll be doing: Build roadmaps of memory system-level features to address low power, low noise, perf/watt efficient, and stable/reliable product needs by doing prototyping, use case analysis, and system-level cost/benefit tradeoff. Architect, design, and integrate memory system-level features, controllers, and policies - including binning, pairing, and adaptive control techniques based on the roadmap to optimize product performance, power, and reliability/stability. Collaborate with architecture, ASIC, board/platform design, software/firmware, marketing, and other multi-functional teams to drive architecture, design, and debug. Expand power improvement initiatives to cover various products and market segments, including high-demand environments such as data centers. Drive scalable, power-efficient, and reliable memory system solutions across diverse platforms. Keep track of the latest industry direction, market needs, and technology development; incorporate them into future roadmaps to build more competitive products. Lead debug, craft WARs, and support bringup, validation, manufacturing, and customer issues on relevant features. What we need to see: BS or MS degree in EE/CE or equivalent experience. 8+ years of experience in memory subsystem architecture, design, and validation, with a strong focus on system-level features that optimize memory power for perf-per-watt efficiency in datacenter or high-perf systems. Strong fundamentals in EE, digital/analog design, signal integrity, low power design, memory power management techniques, timing analysis, and architecture. It is crucial to have a deep understanding of how system-level memory interacts with different IPs and SW/FW, including their impact on power, latency, and reliability. Experience with control systems, boot/reset flows, and memory controller micro-architecture. Validated hands-on lab experience with silicon bringup, lab debug, and lab tools (oscilloscopes, multimeters, logic analyzers). Excellent problem-solving, teamwork, and interpersonal skills. Experience with Python, Perl, C/C++, Windows, and Linux is a plus. At NVIDIA, it's not just about technology-it's about people. Our culture, built on innovation, perfection, determination, and teamwork, drives us to be the best. NVIDIA is home to some of the brightest minds in the world, and we strive to further creativity and passion in everything we do. We want to hear from you if you're driven and ready to make an impact! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 18, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Performance Verification Engineer! As a member of our CPU Performance verification Team, you will be responsible for performance correlation, analyzing workloads and benchmarks for performance bottlenecks, developing microbenchmarks and creating the necessary verification infrastructure for performance analysis. This position offers you the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. What you'll be doing: Technical leadership role to define/plan/implement/execute performance verification strategy of sophisticated CPU designs Ability to delve into lowest level details of CPU unit design specification, implementation and it's performance impact Interactions with architect and design engineers to define detailed scope of micro architectural features Draft detailed performance testplans and define/Create scalable micros to validate features Analysis and correlation of CPU benchmarks/workloads Build infra/tooling needed for efficient performance correlation debug Ability to lead and provide detailed technical guidance to junior engineers Agility to work on multiple tasks/projects What we need to see: BS or MS in EE/ECE or equivalent experience. PhD is a plus 3+ years of experience in CPU performance modeling, performance correlation, performance analysis, or relevant experiences Strong understanding in CPU micro architecture and designs Experience with workload analysis and characterization Strong coding skills in scripting languages like Perl, Python, or C++ Good communication skills and ability & desire to work as a team player are a must Ways to stand out from the crowd: Experience leading performance validation of major blocks of CPU pipeline Background with ARM A64, X86 Architectures Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 7, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

**Introduction** A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio **Your role and responsibilities** IBM's Cognitive Systems Chain Test Engineering team is seeking a Manufacturing Test Engineer Professional responsible for developing new and leveraging existing automated processes used for hardware product testing. This position will involve working with IBM's newest technologies and require collaboration across many other IBM development groups for both hardware and software. In this position candidate will support current production processes, setup, validation **Required technical and professional expertise** 3+ Years experience with the following Unix operating systems (AIX and Linux) C/C++ programming languages XL C/C++ and GCC compilers Python, Perl, and shell scripting languages **Preferred technical and professional experience** * An understanding of IBM Power Systems product line. * Logical PARtition (LPAR) / Virtualization technologies * Storage Area Network (SAN) experience * DB2 and MySQL relational database experience * advance networking knowledge * IBM i and z/OS operating systems * Javascript/jQuery/CSS web languages IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Change the world. Love your job. The Advanced Technology Development (ATD) team creates and delivers innovative technology roadmaps and platforms to enable robust, cost-competitive and industry-leading TI products. This is an exciting, rewarding, yet challenging opportunity to contribute as ATD QEV (Qualification Engineering Vehicle) Senior Test Engineer which involves the following responsibilities: Collaborating and working closely with Process and BU stakeholders to develop characterization and test plans to support early Process Technology nodes development and ramp. Silicon validation & characterization during development phase to include an understanding of performance and yield opportunities for improvement. Comprehensive device debugging, design, process validation and failure analysis Work with failure analysis (FA) to determine root cause of any reliability and qualification failures QEV team works in R&D Environment (not BU) Minimum requirements: Bachelor's degree in Electrical Engineering, Computer Engineering, or related STEM Degree. Minimum 5 years of analog circuit or mixed signal circuit test experience including test development and test debugging. Minimum 5 years of ATE Test Fluency experience Proven track record with ATE hard- and software development (wafer sort and package level) Knowledge of PCB design and experience with Cadence Allegro schematic tools and usage Defining test system requirements from device test specifications Preferred qualifications: Experience with various lab equipment such as scopes, power supplies, source meters, loads etc. Teradyne ETS experience. Data analysis skills and yield reporting using MBayse, Spotfire, Jump, MatLab Strong time management skills that enable on-time project delivery Capability to drive and lead a project -Ability to take the initiative and drive for results Demonstrated strong interpersonal, analytical and problem-solving skills Ability to quickly ramp on new systems and processes Ability to work in a team setup comprising of other functional groups Demonstrated ability to build strong, influential relationships Ability to multiplex between projects and be able to maintain project schedules

Change the world. Love your job. In your first year with TI, you will participate in the Career Accelerator Program (CAP), which provides professional and technical training and resources to accelerate your ramp into TI, and set you up for long-term career success. Within this program, we also offer function-specific technical training and on-the-job learning opportunities that will encourage you to solve problems through a variety of hands-on, meaningful experiences from your very first day on the job. The TMG Development program is a 12-month program for new college graduates in the TMG organization. At Texas Instruments (TI) a Test Engineer is part of a team responsible for designing, developing, and implementing cost-effective methods of testing and troubleshooting systems and equipment. In this role, the Test Engineer prepares test and diagnostic programs, designs test fixtures and equipment, completes specifications and procedures for new products. Responsibilities include: Work with design team to understand design specifications Generate test plan, creating test and char program, designing ATE hardware interface boards Debug characterizing silicon on ATE, correlate results with bench data Analyze silicon results, supporting failure analysis tasks Perform statistical analysis of yield fallout, debugging and fixing yield issues; optimizing test time Work with production team to release products to volume production Create test strategy definition and implementation for new products Work silicon qualification & characterization including qual hardware development Comprehensive device debugging, design validation and failure analysis Drive for robust and cost effective test solutions while being accountable for product quality Qualifications Minimum requirements: Bachelors degree in Electrical Engineering, Computer Science, Electrical and Computer Engineering, Mechanical Engineering, or related Minimum Cumulative 3.0/4.0 GPA Preferred qualifications: ATE experience on Teradyne Eagle or equivalent analog ATE (iFlex, LTX, VLCT) Characterization test program and hardware development knowledge Production test program and hardware development knowledge Technical knowledge of electronic devices and circuits, and Analog test techniques Data analysis skills using Spotfire, data Power or equivalent tool based on STDF Experienced with various lab equipment such as scopes, power supplies, sourcemeters, loads etc. Experience with product engineering activities such as yield improvement and test time reduction Understanding of the IC product development process, from concept to volume production Proficiency in programming/scripting in C++, Python, C# Demonstrated strong analytical and problem solving skills Strong verbal and written communication skills Ability to work in teams and collaborate effectively with people in different functions Strong time management skills that enable on-time project delivery Demonstrated ability to build strong, influential relationships Ability to work effectively in a fast-paced and rapidly changing environment Ability to take the initiative and drive for results

Change the world. Love your job. This is an exciting, rewarding, yet challenging opportunity to contribute as Senior Test Engineer which involves the following responsibilities: Collaborating and working closely with Process and stakeholders to develop characterization and test plans to support early Process Technology nodes development and ramp. Silicon validation & characterization during development phase to include an understanding of performance and yield opportunities for improvement. Comprehensive device debugging, design, process validation and failure analysis Work with failure analysis (FA) to determine root cause of any reliability and qualification failures Qualifications Minimum requirements: Bachelor's degree in Electrical Engineering Minimum 5 years of analog circuit or mixed signal circuit test experience Solid understanding of analog test techniques and test experience in mixed signal and analog circuits. Knowledgeable of electronic devices and circuits: basic understanding of building blocks like LDO, Bandgap, Ring Oscillators, VCOs, Operational Amplifier etc. Proven track record with ATE hard- and software development (wafer sort and package level) Knowledge of PCB design and experience with Cadence Allegro schematic tools and usage ATE Test Fluency and Experience in Teradyne ETS364 (ETS800 test experience is a plus) Defining test system requirements from device test specifications Experience in Pre Si-Test Activities including Hardware design and Software readiness, provide insights to design team for robust test Experience in test debugging and test time reduction Experience with various lab equipment such as scopes, power supplies, source meters, loads etc. Preferred qualifications: Data analysis skills and yield reporting using MBayse, Spotfire, Jump, MatLab Strong time management skills that enable on-time project delivery Capability to drive and lead a project -Ability to take the initiative and drive for results Demonstrated strong interpersonal, analytical and problem-solving skills Ability to quickly ramp on new systems and processes Ability to work in a team setup comprising of other functional groups Demonstrated ability to build strong, influential relationships Ability to multiplex between projects and be able to maintain project schedules

**Change the world. Love your job.** The Advanced Technology Development (ATD) team creates and delivers innovative technology roadmaps and platforms to enable robust, cost-competitive and industry-leading TI products. This is an exciting, rewarding, yet challenging opportunity to contribute as ATD QEV (Qualification Engineering Vehicle) Senior Test Engineer which involves the following responsibilities: + Collaborating and working closely with Process and BU stakeholders to develop characterization and test plans to support early Process Technology nodes development and ramp. + Silicon validation & characterization during development phase to include an understanding of performance and yield opportunities for improvement. + Comprehensive device debugging, design, process validation and failure analysis + Work with failure analysis (FA) to determine root cause of any reliability and qualification failures + QEV team works in R&D Environment (not BU) **Why TI?** + Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. + We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI (*************************************** UI/CandidateExperience/en/sites/CX/pages/4012) + Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. **About Texas Instruments** Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws. If you are interested in this position, please apply to this requisition. **Minimum requirements:** + Bachelor's degree in Electrical Engineering, Computer Engineering, or related STEM Degree. + Minimum 5 years of analog circuit or mixed signal circuit test experience including test development and test debugging. + Minimum 5 years of ATE Test Fluency experience + Proven track record with ATE hard- and software development (wafer sort and package level) + Knowledge of PCB design and experience with Cadence Allegro schematic tools and usage + Defining test system requirements from device test specifications **Preferred qualifications:** + Experience with various lab equipment such as scopes, power supplies, source meters, loads etc. + Teradyne ETS experience. + Data analysis skills and yield reporting using MBayse, Spotfire, Jump, MatLab + Strong time management skills that enable on-time project delivery + Capability to drive and lead a project -Ability to take the initiative and drive for results + Demonstrated strong interpersonal, analytical and problem-solving skills + Ability to quickly ramp on new systems and processes + Ability to work in a team setup comprising of other functional groups + Demonstrated ability to build strong, influential relationships + Ability to multiplex between projects and be able to maintain project schedules **ECL/GTC Required:** Yes