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. As a Formal Verification Engineer at NVIDIA, you will verify the build and implementation of the industry's leading GPUs. In this position, your responsibilities will be to verify the micro-architecture using formal verification tools, define the verification scope, and ensure correctness. You will employ sophisticated formal techniques to acquire sufficiently bounded proofs while working with architects, designers, and pre- & post-silicon verification teams to accomplish your tasks. You will efficiently complete the formal verification effort for the entire project cycle, delivering high-quality results on schedule, and clearly conveying those results to the team. What you will be doing: Identify key behaviors for verification to write clear testplans for sophisticated designs. Implement testplans using the latest formal techniques, including the development of environment assumptions, assertions, and cover properties. Develop abstraction models to overcome complexity challenges and acquire full proofs, or bounded proofs with sufficient coverage. Drive formal tools to realize their best performance. Debug RTL to identify causes of failure scenarios. Contribute to flow and script development
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities Responsible for both product development and supporting high volume manufacturing of SSD. Support for SSD failure analysis from NPI to HVM stage. Perform manufacturing yield evaluation and data analysis. Perform detailed electrical and physical failure analysis and work with other departments to resolve SSD related issues. Troubleshooting failure from customer return and provide solutions to fix the problems. Requirements: Bachelor or Masters degree in Electrical/Electronic Engineering or Computer engineering. Relevant experience in SSD industry will be an advantage. Relevant experience with computer hardware, knowledge of storage interface such as SATA, SAS will be an advantage. Proficiency in programming languages such as C, C++, Python, Perl and etc. Proficiency in using AI technology (Claude, Copilot) in improving productivity. efficiency and data analysis. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people
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. What you’ll be doing: As part of Operations Engineering team that plays a key role in developing new IC products, you will design, develop, and implement cost-effective methods of ATE testing. Offer creative solutions to improve test methodology of existing solution. ATE test method code debugging and development Scripting tools debugging and development Web-based tools debugging and development Help to solve production issues or throughput issues that might be related to test methodology What we need to see: Master/Bachelor degree in Engineering or Science 5+ years related working experience In-depth knowledge and hands-on experience in Advantest 93K ATE or other ATE platform Good skills in programming languages such as C/C++ or Java Strong problem-solving capability English communication capability is required Strength in presenting to technical audiences and generating content for developers Critical thinking, solution focused and attention to detail Ways to stand out from t
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. If you want to challenge yourself and be a part of something great, join us today! 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 opportunities which 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. We are now looking for a motivated Senior DTCO Engineer, CPU Physical Design to join our dynamic and growing team. As a Senior DTCO Engineer, you will evaluate advanced semiconductor foundry nodes to optimize next-generation CPU microarchitecture. You will coordinate between foundry partners, IP development, and hardware design teams to explore target technology nodes during early development phases. What you'll be doing: Evaluate advanced process technologies and help shape technology choices for next-generation CPUs. Run synthesis, place-and-route, and static timing analysis to assess how process features affect power,
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 now looking for a Senior Software Performance Engineer for Autonomous Vehicles! Our team builds NVIDIA’s end-to-end autonomous driving applications. We are seeking senior software engineers who are passionate about performance with an interest in optimizing self-driving solutions that run on NVIDIA’s multi-computer and heterogenous HW architectures. What you’ll be doing: Develop, maintain and optimize latency and throughput of NVIDIA’s L2/L3/L4 autonomous driving solutions. Devise acceleration strategies and patterns to improve software architecture and its efficiency on our computers with multiple heterogeneous hardware engines while meeting or exceeding product goals. Develop highly efficient product code in C++, making use of algorithmic parallelism offered by GPGPU programming (CUDA)/ARM NEON while following quality and safety standards such as defined by MISRA. Collaborate with HW, product, OS, and safety teams to design next-gen products. What we need to see: MS or PhD degree in Computer Science, Computer Architecture, Electrical Engineering or related field (or equivalent experience). 12+ years of relevant professional experience. Excel
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 a world - class autonomous driving hardware and software development team. We have the best platform and have maintained a leading position in the field of artificial intelligence. Next, we will continue to deepen our efforts in the autonomous driving field and strive to bring sustained growth to our customers. We're looking for a Senior Software Triage Engineer with strong technical ability to deeply understand architectures and strong scripting experience to automate and Triage methodology, and the leadership to encourage our engineering team. As a key member of our automotive group, you'll be working on the real time challenges outstanding to the automotive industry and our automotive products. This is a key role to support AV software agile iteration & development for the release of clients, together working with the engineering teams, understanding the AV stack deeply and providing data-based judgement and delivering high-quality AV software to end customer. What you’ll be doing: Work with Product, Engineering, Model/SW Devs, In-car testing, Fleet teams on test request and triage planning, do live triage with accurate analysis and debugging steps, present top issues by end of day. Deep understand
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Systems Ownership Scope As the designated System Owner, the incumbent holds end-to-end technical accountability for the following mechanical utility systems across their full lifecycle — build, construction, commissioning, and operation: Compressed Dry Air (CDA): oil-free air compressors, heat-regenerative desiccant dryers, filtration trains, receivers, and distribution loops meeting ISO 8573 purity standards for particles, dew point, and oil. Process Vacuum (PVAC): vacuum pump packages, variable-speed skids, vacuum headers, tanks and point-of-use control. Process Exhaust: General exhaust (GEX), wet exhaust (WEX) fan systems, scrubber systems, ductwork, dampers, and monitoring. HVAC / Air Conditioning: make-up air units (MAU), dry cooling coil (DCC), computer room air conditioning (CRAC), air handling units (AHU), fan filter unit (FFU), fan coil unit (FCU) and comfort-cooling systems supporting office, cleanroom-support, and general areas. Associated instrumentation, control loops, and integration into the Building Management System (BMS). Shows readiness and capability to incorporate AI-powered tools into everyday engineering tasks such as predictive maintenance, energy management, and data-driven optimization of mechanical utility systems. This supports Micron's AI transformation and smart-manufacturing objectives. Construction Phase — Build, Delivery & Commissioning Develop and review the foundational plans, load calcul
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities: Provide L2 support in incident, request, change and problem management related to database operations. Provide operational support covering 24/7 and participate in Major incidents. Ensure SLA for incidents and service requests are met with high quality of work. Ensure critical metrics, such as breach case target, MTTR and first level resolution target is met. Install and upgrade database systems, apply patches and implement changes when required. Diagnose and resolve database errors ensuring high availability of database systems. Manage databases access, backups and ensure compliance to database and security standards. Monitor database performance proactively and perform analysis of cases to prevent recurring issues. Review and improve database monitoring when required. Develop processes and operation procedures. Build and manage database reports, visualizations, and dashboards related database operations. Leverage AI and agentic solutions to automate operational workflows, enhance service reliability, and improve IT operations efficiency. Requirements: Bachelor’s, Master’s degree or equivalent experience Computer Science, Electrical & Electronics/Computer/Software Engineering, Information Systems or related fields. Good understanding and hands-on experience in the following areas will be advantageous: Microsoft SQL Server, Oracle Database, Linux and Windows operation sy
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Develop and deploy transformative, model‑based solutions to improve frontend yield, quality, and technology ramp performance. Apply virtual structure modeling, process simulation/emulation, and advanced analytics to understand sophisticated lithography‑film‑etch interactions and prescribe actionable process solutions. Leverage AI and data‑driven techniques to accelerate yield learning, process window characterization, and integration optimization. Collaborate with PIE, Process/Equipment, Metrology, and SMAI , and other cross‑functional partners to design, validate, and deploy solutions into manufacturing. Drive solution deployment across sites, including technology transfer and ramp support. Maintain strong engagement in research and development , continuously evaluating emerging modeling, simulation, and AI methodologies for semiconductor manufacturing. Contribute to knowledge sharing, technical mentoring, and capability building within the FE engineering community. Requirements / Qualifications Education Master’s or PhD in Electrical Engineering, Computer Engineering, Industrial & Systems Engineering, Mechanical Engineering, Chemical Engineering, Materials Engineering, Applied Statistics, Applied Mathematics, Operations Research , or other relevant engineering/science fields. Experience More than 5 years of working experien
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The qualifications and skills for this position include, but are not limited to: Bachelor’s or master’s degree in Electrical Engineering or Computer Engineering with 7+ years of proven experience in Test Engineering role. Excellent programming skills for writing and debugging ATE test programs and test-related hardware development. Proficiency with Advantest V93K ATE platforms and/or other logic device ATE testers is preferred. Proficiency in programming with C/C++ and/or JAVA is required. Solid understanding of testing for CMOS SoCs. Prefer candidates with exceptional digital, analog, and MXS test programming and debug experience. Familiar with testing IP blocks such as PLL, efuse, DDR. Expertise in test strategy development, test plan definition, DFT pattern implementation (ATPG SCAN, TDF, MemBIST and repair, BSACAN, JTAG/IEEE1500, and Functional Patterns). Expertise in ATE architecture and test hardware design and debugging, schematic capture, and PCB layout. ATE test vector conversion tools like VTRAN and proficiency in debugging issues during development or high volume production. Knowledge of semiconductor manufacturing process. Knowledge of accurate and effective use of lab test equipment (i.e., oscilloscope, logic analyzer, etc.). Experience with data analysis software in support of c
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. About the Role We are looking for a passionate and innovative ATE Test Engineer to design and deliver cutting-edge test solutions for HBM-DRAM devices using modern advanced ATE platforms. In this role, you will lead the development and implementation of test plans, ATE test programs, silicon validation, and test methodologies, while driving multi-site hardware design and development, product characterization, and high-volume production support. Success in this position requires a forward-thinking mindset and the ability to apply the right technologies to meet evolving challenges. Key Responsibilities Develop and implement robust test strategies, plans, and ATE programs for HBM-DRAM devices. Drive silicon validation, characterization, and yield improvement initiatives. Design and debug test hardware, including schematic capture and PCB layout. Collaborate cross-functionally to ensure seamless integration of test solutions into production. Support high-volume manufacturing and troubleshoot complex test issues. Qualifications & Skills Education: Bachelor’s or Master’s degree in Electrical, Electronics or Computer Engineering. Experience: A
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. NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the design and implementation of the world’s leading inference accelerator. This position offers 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 around the globe. Their mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality. What you'll be doing: As a key member of our ASIC Verification team, you will verify the design and implementation of inference accelerator You will be responsible for verification of the ASIC design, architecture, reference models and micro-architecture using advanced verification methodologies Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design Collaborate with architects, designers, and pre and post silicon verifi
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. NVIDIA has a rapidly expanding ecosystem of data center platform designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each brings together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are searching for a highly motivated engineer to lead performance benchmarking and optimization efforts for our data center products. You will be instrumental in ensuring our data center solutions deliver industry-leading performance for accelerated computing workloads. What you will be doing: Design and execute comprehensive performance benchmarking strategies for our data center platforms and products Characterize real-world AI training, inference, and HPC workloads at scale Define, track, and report key performance indicators (throughput, latency, efficiency, scaling) Build automation tools and frameworks for performance monitoring and analysis Identify and analyze performance bottlenecks across compute, memory, network and storage subsystems Work closely with architecture, hardware,
Are you passionate about the future of autonomous vehicles? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team to help build the next generation of self-driving technology! In this role, you’ll work alongside experienced engineers to develop advanced 3D world models that combine map and perception data, enabling vehicles to safely navigate complex roads and intersections in the U.S. and China. This is a fantastic opportunity to grow your skills and contribute to groundbreaking projects at the heart of our vision for autonomous driving. What you'll be doing: Contribute to Core Autonomous Driving Systems: Help develop and refine systems that integrate state-of-the-art perception and mapping technologies for use in diverse driving environments. Build Real-Time 3D World Models: Assist in creating dynamic 3D models by combining data from sensors and external sources to support planning and navigation. Support Mapless Driving Capabilities: Work on enriched bird’s-eye-view (BEV) models to enable autonomous vehicles to navigate complex urban settings without relying solely on high-definition maps. Enhance Scenario Understanding: Help build static obstacle and occupancy grids, and generate occlusion masks to improve the vehicle’s understanding of its environment. Collaborate Across Teams: Work closely with perception and planning teams, learning from experts and contributing to shared goals. Maintain High Standards: Write high-quality code and follow automotive industry best practices for safety and reliability. What we need to see: PhD with 1+ year, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong relevant software development experience, ideally with some exposure to robotics, autonomous vehicles, or relat
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. 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 seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What you will be doing: Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuous
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