NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is seeking a motivated memory subsystem architects with great analytical skills and a deep understanding of system architecture and performance, to work with a team to model, debug and analyze performance issues in the Memory subsystem. What you will be doing: Contribute to advancing GPU Architecture and Simulators, GPU testing infrastructure, metrics, and/or compilers. Performance modeling and simulation of features to improve memory system efficiency. Develop test plans and testing infrastructure. Debug tests on architecture simulators. Performance analysis/ bottleneck analysis of sophisticated, Memory subsystem units and features. Work on hardware models of different levels of extraction, including performance models, RTL test benches and emulators to find performance bottlenecks in the system. Working with various multi functional teams like ASIC design and verification.. What we need to see: Master/Bachelors degree in Electrical Engineering, Computer Science, Computer Engineering or related field (or equivalent experience). 5+ years experience dealing with system level architecture and performance issues. Strong programming ability in C, C++. Exposure to Verilog/System Verilog is a strong plus. Good understanding of Memory subsystem architecture, caches , MMU, memory controller, NOC / interconnects, computer architecture. Debugging and analysis, including use of RTL dumps to debug failures. Exposure to performance simulators, cycle accurate/approximate models or emulators for pre-silicon performance analysis is a plus. Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Ways to stand out from the crowd: Knowledge of the memory system, caching, interconnects, DRAM controller, Memory management unit, performance modeling and analysis. Widely considered to be one of the technology world s most desirable employers. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. #LI-Hybrid

For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team! What you will be doing: Identify opportunities for performance improvements in the LLVM-based compiler middle end optimizer. Design and develop new compiler analysis passes and optimizations. Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through higher level languages. What we need to see: Pursuing a B. S, M. S or Ph. D. in Computer Science, Computer Engineering, or related fields. Background in Compiler Optimizations such as Loop Optimizations, Inter-procedural optimizations and Global optimizations. Excellent hands-on C++ programming skills. MLIR, LLVM and/or Clang compiler development experience. Understanding of any Processor ISA (GPU ISA would be a plus). Good communication and documentation skills and self-motivated. Ways to stand out from the crowd: M. S or Ph. D. preferred. Experience in developing applications in CUDA or other parallel programming language. Understanding of parallel programming concepts. Familiarity with deep learning frameworks and NVIDIA GPUs. NVIDIA is 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 on our team. If you are creative and autonomous, we want to hear from you!

NVIDIA is looking for a world class engineer to join its multifaceted and fast-paced Infrastructure, Planning and Processes organization where you will be working as a Senior Devops and SRE Engineer. The position will be part of a fast-paced crew that develops and maintains sophisticated build & test environments for a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors along with various operating systems (Windows/Linux/Android). The team works with various other business units within NVIDIA Software such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, Robotics and Driverless Cars to cater to their infrastructure & system s needs. What you ll be doing: End-to-end Implementation of the Kubernetes architecture - design, deploy, hardening, networking, sizing, scaling etc. Implementing high availability clusters and disaster recovery solutions Strong System Admin experience using Configuration as Code, infrastructure-as-code with tools such as ansible, puppet, chef & terraform. Design and implement logging & monitoring solution to gain more insight into applications and system health. Implement critical metric using various analytics methods and dashboards. Craft and develop tools needed for automating workflows. Reuse AI techniques to extract useful signals about machines and jobs from the data generated. Take part in prototyping, crafting and developing cloud infrastructure for Nvidia. Participating in on-call support and critical issue coverage as a SRE engineer. What we need to see: Solid programming background in python/Go and/or similar scripting languages. Excellent debugging, problem solving and analytical skills. Strong understanding of architectural requirements and development processes involved in building reliable, robust, scalable data products and pipelines. Proficient in configuration management & IaC tools like Ansible, Puppet, Chef, Terraform Strong background with Gitlab, Jenkins, Flux, ArgoCD and/or other tools to build secure CI/CD systems. Strong expertise in Kubernetes architecture, networking, RBAC, persistent storage solutions like Trident, Ceph, EBS, Longhorn, etc. Proficient in secret management tools like hashicorp vault, aws secrets manager, etc. Proficient in data analytics/visualization & monitoring tools like Kibana, Grafana, Splunk, Zabbix, Prometheus and/or similar systems. 5+ years of proven experience. Bachelor s or master s degree in computer science, Software Engineering, or equivalent experience. Ways to stand out from the crowd: Thrives in a multi-tasking environment with constantly evolving priorities. Prior experience with large scale operations team. Experience with using and improving data centers. Expertise with windows server infrastructure. Outstanding interpersonal skills and communication with all levels of management. Ability to analyze complex problems into simple sub problems and then reuse available solutions to implement most of those. Ability to design simple systems that can work efficiently without needing much support. Ability to leverage AI/ML to proactively detect & resolve incidents, automated alert triaging, log analysis and automate repetitive workflows. 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 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.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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 that are hard to solve, that only we can address, and that matter to the world. This is our life s work, to amplify human imagination and intelligence. As part of the CAD team, our engineers develop and support tools for all of NVIDIAs semiconductor products. They also develop in-house tools in the area of Design for Test (DFT) using C++, Python, and TCL. You will work on infrastructure and software used to test our complex semiconductor devices. Below are some of the teams activities. We are a diverse team needing someone who is not afraid of a challenge. If this is you, come join us today. What you will be doing: Be responsible for designing and managing the DevOps workflow for the software team. Provide essential software, hardware, and lab support to ensure smooth operations and resolve any critical issues. Architect highly automated and customizable design flows using software engineering and AI Code Generation with modular design and object-oriented techniques. Support development of tools using C++/Python/TCL. Work cross-functionally with DFT Methodology, Implementation, and design teams with important DFT development tasks. Implement and maintain CI/CD pipelines for DevOps processes. Manage cloud infrastructure and on-premise systems for scalable and reliable deployment. Troubleshoot and resolve system, network, and application issues. What we need to see: A BE or BTech or MTech in Computer Science, Electronics Engineering, Electrical Engineering, or equivalent experience. At least 3+ years of relevant work experience in DevOps, with a focus on CI/CD, automation, and infrastructure management. Solid programming and scripting skills in Python/C++ or TCL desired. Strong software engineering skills: software design, algorithms, and QA. Strong experience with configuration management tools like Ansible, Puppet, or Chef. Proficiency with containerisation technologies such as Docker and Kubernetes. Experience with cloud platforms like AWS, Azure, or GCP. Strong knowledge in GitLab pipelines. Familiarity with tools like Artifactory and Jenkins, which are essential for managing binary repositories and automating builds and deployments. Good understanding of build frameworks such as CMake and Meson is required. Familiarity with JIRA for project and issue tracking is good to have. Experience in providing lab software and hardware Ways to stand out from the crowd: Knowledge or experience with DFT Strong GenAI, LLM, AI Code Generation skills desirable. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If youre creative and autonomous, we want to hear from you! #LI-Hybrid

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! We are looking for a Senior Engineer for our Build and Release Methodology Group catering to our pioneering SOCs. As the SOC development becomes more complex requiring packing of more and more IPs and the need for doing more SOCs increase, we need to have a scalable infrastructure to be able to complete SOC development in fastest as well as most efficient way possible. This requires an SOC Build and IP Release infrastructure that caters to and keeps up with these ever-increasing complexities. In this position, you will work first-hand on architecting and developing this methodology. If you have real passion for methodologies and automation solutions, you will fit in great! What youll be doing: Define and develop system-level methodologies and tools to build SOCs in an efficient and scalable manner. Architect and implement core build flows so as to optimize build and make it simpler and efficient. Improve build, release, and integration tools and procedures. Identify and develop Checks to enforce the best practices for the Build and Release guidelines. Develop solutions to enable abstraction and compartmentalization for customer IPs. Identify difficulties and inefficiencies in the SOC implementation process and propose ideas to solve them. Support IP teams with Build and Release related issues. What we need to see: BS or MS in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent experience. 5+ years of industry experience as Build and Release Engineer, Build Automation, IP integration and related areas. Strong coding skills in Perl, Python, Makefile, Shell script, or other industry-standard scripting languages. Excellent analytical and problem-solving skills. Excellent interpersonal skills to work with multi-functional teams and collaborate with team members across sites and cultures to build consensus. Background in RTL (Verilog), Verification (UVM, System Verilog) and C/C++ is a plus - Not must. Experience in synthesis and physical design is a plus - Not must. #LI-Hybrid

NVIDIA is seeking a passionate, creative, and highly motivated engineer to work on architectural power estimation for the world s leading GPUs and SOCs. In this position, the responsibility includes development of advanced power models to estimate chip and board power under product driven use cases. You are expected to understand the high-level chip architecture, application use-cases, low power design techniques, process technology aspects which impact dynamic and leakage power, develop the estimation infrastructure, estimate power consumption under various scenarios. You will be working with architecture, design, synthesis, timing, circuit, and post silicon teams to accomplish your tasks. 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 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. At NVIDIA, our employees are passionate about parallel and visual computing. Were united in our quest to transform the way graphics are used to solve some of the most complex problems in computer science. The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as the AI computing company. What you ll be doing: Architecture, development and correlation of power estimation models/tools for NVIDIAs chips Help architect and develop power models for use-cases, Idle power and IO power. Chip in to design the tools based on these models and their testing methodology/infrastructures Correlate and Calibrate the power models using measured silicon data Analyze and help decide the chip configuration and process technology options to optimize power/performance for Nvidias upcoming chips Help study and contribute to Performance/Watt improvement ideas for Nvidias GPUs and SOCs What we need to see: B. Tech. /M. Tech and 1+ years of experience related to Power / Performance estimation and optimization techniques Strong fundamentals in power including transistor-level leakage/dynamic characteristics of VLSI circuits Familiarity with low power design techniques such as multi VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS) Strong background in power estimation techniques, flows and algorithms Good programming skills - Python preferred. Good skills with object-oriented programming and design. Ways to stand out from the crowd: Exposure to lab setup including power measurement equipment such as scope/DAQ with ability to analyze board level power issues is a plus Exposure to power analysis EDA tools such as PTPX/EPS Good communication skills desire to work as a great teammate With competitive salaries and a generous benefits package, Nvidia is widely considered to be one of the most desirable employers in the world. #LI-Hybrid

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIAs strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modelling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency. What youll be doing: Modelling and analysis of graphics and / or SOC algorithms and features Lead cmodel chip execution end to end working with various stakeholder both internal and external Drive the next generation Infra initiatives Work in a team to document, design, develop tools to analyze and simulate, validate, and verify models Develop tests, test plans, and testing infrastructure for new architectures/features Code coverage analysis and reporting What we need to see: Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) with 10+ years of relevant work experience. Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make) , toolchains (GCC, MSVC) and libraries (STL, BOOST) Computer Architecture background with experience in modelling with SystemC TLM preferred Familiarity with Docker, Jenkins, Python, Perl Excellent communication and interpersonal skills and ability to work in a distributed team environment NVIDIA is 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. Do you love the challenge of crafting the highest-performance silicon GPUs and SoCs possibleIf so, we want to hear from you! Come, join our Architecture Simulation and Modelling team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. #LI-Hybrid

NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What youll be doing: Primary responsibilities will include building AI/HPC infrastructure for new and existing customers. Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting. Engage in and improve the whole lifecycle of services from inception and design through deployment, operation, and refinement. Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. At least 5+ years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture Proficiency in configuring, testing, validating, and resolving issues in LAN and InfiniBand networks, especially in medium to large-scale HPC/AI environments. Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols. Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS. Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python. Ability to develop CI/CD pipelines for network operations. Strong focus on customer needs and satisfaction. Self-motivated with leadership skills to work collaboratively with customers and internal teams. Strong written, verbal, and listening skills in English are essential. Ways to stand out from the crowd: Familiarity with cloud networks (AWS, GCP, Azure) is a plus. Linux or Networking Certifications. Experience with High-performance computing architectures. Understanding of how job schedulers (Slurm, PBS) work. luster management technologies knowledge (bonus credit for BCM (Base Command Manager). ) Experience with GPU (Graphics Processing Unit) focused hardware/software. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If youre creative and autonomous, we want to hear from you.

We are looking for a SWQA Tools Development Engineer to join our Certification team. You will collaborate with a team of talented engineers tackling some of the most complex challenges in cutting-edge technology. Mentored by the best minds in the industry, you will have the opportunity to make meaningful contributions to exciting and impactful projects. Immediate focus will be to come up to speed on testing and existing AT for the various cert programs the team covers (HLK, HDMI/DP, ESXi, Android CTS etc), then start contributing new solutions to help improve productivity, tracking, and efficiency. What youll be doing: Utilizing various Certification Kits, youll test all software/hardware features of our products to ensure cert level quality at all stages of the development cycle from emulation to production. This involves a wide variety of functional categories (Graphics, Audio, USB, Hypervisors, Virtual Machines). Engage with the development teams when reporting Certification bugs and offer key debugging info and data points to assist development team in driving bugs to closure in a timely manner. You will actively work with existing automation tools ( Developed with Python/C#/SQL) by integrating external/internal APIs, optimize automation with AI/ML algorithms, and develop new automated solutions Communicate accurate, timely, and effective status to management and other key internal/external partners. Achieve thorough understanding in all functional and process related areas of the Hardware Certification ecosystem. As a SWQA Tool Developer who is engaged in the success of this team and company, you will devote time to process definition and improvement and come up with creative solutions to challenging problems to help us achieve our goals more efficiently. Represent the team in meetings internally (bug scrubs, deliverable syncs, blocking issue meetings, etc. ) and externally (cert authorities/partners). Become a champion of quality for any NVIDIA product that you touch and proliferate that same spirit across the team and cross functional orgs. What we need to see: Engineering Graduate in Computer Science/ IT/ ECE with strong academics. 3-5 Years of experience in demonstrated ability to design, build, and deploy AI/ML models or automation systems in real-world projects, either independently or as part of a team. Experience in Programming Languages Python, PyTorch, C#, SQL and version control tools like GitHub/Perforce. Strong ability to tackle complex problems and design innovative solutions. Able to juggle conflicting/changing priorities and maintain a positive attitude while experiencing challenging and dynamic schedules. Ability to work with geographically dispersed team and attend reviews/meetings to assist in maintaining alignment. Excellent Communication skills.

This is a great chance to create a real impact by testing NVIDIA s DriveOS automotive operating system. As a highly skilled and motivated senior software developer, you will push the boundaries of testing and automation, shaping our verification strategy and influencing the future of our test automation systems. If youre passionate about self-driving technology and ready for a challenge, we want to hear from you! What you will be doing: You will have a unique opportunity to be at the forefront of ensuring the flawless performance of NVIDIAs groundbreaking technology. Your contributions will directly impact the quality and reliability of our solutions, shaping the future of autonomous systems. In our fast-paced and dynamic environment, you will take on exciting challenges, including: Developing and refining test strategies and test plans for new features, ensuring our solutions meet the highest standards of excellence. Designing and implementing automated testing frameworks to enhance verification processes, driving efficiency and reliability in our testing pipelines. Collaborating with multi-functional teams to gain a deep understanding of customer use cases, project requirements, and feature specifications, ensuring alignment with real-world applications. Investigating, analyzing, and addressing issues found during testing, leading root-cause analysis and implementing effective solutions. Enhancing and optimizing QA processes, ensuring technical excellence while continuously improving quality standards. Providing mentorship and guidance to fellow team members, fostering a culture of collaboration, innovation, and technical excellence. Engaging with global teams across different time zones to deliver a seamless and exceptional user experience. Your expertise in testing and automation will be instrumental in shaping the success of NVIDIAs cutting-edge technology, ensuring we deliver world-class solutions to our customers. What we need to see: To excel in this role, we are looking for candidates with the following qualifications: B. E / B. Tech / MS / MCA or its equivalent degree 3+ years of relevant experience in software development Experience in using AI coding assistants to improve coding efficiency and correctness Knowledge in Linux and/or QNX is required Strong embedded testing experience Strong Python skills, with the ability to write logical scripts/code from scratch and use automation frameworks Ability to read C/C++ and low-level code Excellent analytical skills for solving problems Strong interpersonal and communication skills are important An excellent teammate demeanor, passionate about autonomous driving and related fields. Ways to stand out from the crowd: Experience in the Autonomous driving domain Proven understanding of Linux Kernel Internals, system software, Graphics, and Multimedia Concepts Proficiency in industry-standard I/Os such as Display, Resource Manager, Ethernet, CAN, PCIe, and PTP or equivalent experience LLM, GenAI Knowledge Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Come be a part of this exciting world, at NVIDIA. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We are now looking for a Senior Architect - Tegra. 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 seek, which only we can pursue, and which matter to the world. This is our life s work: to amplify human inventiveness and intelligence. Make the choice to join us today. NVIDIA develops outstanding solutions in the automotive, embedded and mobile spaces through its low-power high-performance Tegra System On Chips. What youll be doing: In the key role of a System Architect in the Architecture team, the candidate will be responsible for invention, development and solving state of the art boot, power management and security architecture problems. The profile includes definition and specification of System on Chip Boot sequences from reset, wake up from deep sleep states, analyzing platform security considerations, evaluating HW and SW security attacks and suggesting mitigations that fit the SoC Architecture. Define BootROM software flows, design boot staging and key association choices, and apply crypto algorithms to a secure boot sequence for the platform. You would be required to specify complex hardware and software interactions, perform architecture validation and use-case analysis towards meeting the requirements of various products. The role may need you to architect power management hardware, state machines to sequence sleep states, order various units in power up and shutdown usecases for the SOC. The role may also include platform modeling of the above interactions in addition building / debugging / maintaining the models, and developing validation tools for next generation secure boot software. Work with multiple multi-functional teams in the organization including but not limited to Architecture, Security, ASIC design, SW, product/marketing, and customer facing teams. What we need to see: Bachelors in Electrical Engineering or Computer Science (Masters degree or higher preferred). 5+ years of experience Past experience in C++ development, embedded software, and at least some exposure to system level design. Processor architecture, system bus architecture, ARM processor-based architecture fundamentals, strong software design fundamentals, strong hardware architecture fundamentals. Exposure to security architecture and applied cryptography is a plus. Exposure to low power SOC architecture is a big plus Strong analytical skills and aptitude, eager to tackle complex problems. Good communication/articulation skills and ability to work across multi-geographical teams. NVIDIA is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Hybrid

We are currently seeking Verification Engineer with strong verification fundamentals to work in Switch Silicon group. Youll join a group of hardworking engineers to craft and implement the next generation innovative Switch Silicon chips. In this position, youll make a real impact in a dynamic, technology-focused company while developing best high-speed communication devices, delivering the highest throughput and lowest latency! The Networking Chip Design team in India is a new team which is growing at a fast pace. What youll be doing: Verify Switch designs architecture and micro-architecture using advanced methodologies. Build reference models, verify and simulate chip blocks/entities according to specifications. Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW. You are encouraged to understand the design and implementation, define the verification scope, develop the verification infrastructure, test plans and tests and verify the correctness of the design at SOC level. Use sophisticated verification methodologies like e-specman, SV-UVM etc. What we need to see: BS (or equivalent experience) / MS with 4+ years of experience in design verification. Exposure to design and verification tools (Verilog/SV or equivalent, Cadence or equivalent simulation tools, debug tools like Indago, GDB etc.). Perl/python scripting language experience desirable. Ways to stand out from the crowd: Prior experience of Ethernet or InfiniBand Switches, and/or smartNICs or DPUs, and/or high-speed interconnects. Strong debugging, problem-solving and analytical skills. Scripting knowledge (Python/Perl/shell). Good social skills and ability desire to work as an excellent teammate. 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 www.nvidiabenefits.com NVIDIA is committed to encouraging 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. #LI-Hybrid

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! What youll be doing: NVIDIA develops outstanding solutions in the automotive, embedded and mobile spaces through its low-power high-performance Tegra System On Chips. In the key role of a System Architect in the Architecture team, the candidate will be responsible for invention, development and solving state of the art boot architecture and power management architecture problems. The profile includes definition and specification of System on Chip Boot sequences from reset, deep sleep state wakeup, defining BootROM software flows, applying crypto algorithms to a secure boot sequence for the platform. You would be required to specify complex hardware and software interactions, perform architecture validation and use-case analysis towards meeting the requirements of various products. Architect power management hardware, state machines to sequence sleep states, order various units in power up and shutdown usecases for the SOC. The role also includes platform modeling of the above interactions in addition building / debugging / maintaining the models, and developing validation tools for next generation secure boot software. Work with multiple multi-functional teams in the organization including but not limited to Architecture, Security, ASIC design, SW, product/marketing, and customer facing teams. What we need to see: You have a Bachelors in Electrical Engineering or Computer Science (Masters degree or higher preferred). 3+ years of experience in C++ development, embedded software, and at least some exposure to system level design. Processor architecture, system bus architecture, ARM processor-based architecture fundamentals, strong software design fundamentals, strong hardware architecture fundamentals. Exposure to scripting and automation, Python, shell scripting. Exposure to security architecture and applied cryptography or power management architecture is a plus. Strong analytical skills and aptitude, eager to tackle complex problems. Strong hardware modelling skills. Good communication/articulation skills and ability to work across multi-geographical teams. NVIDIA is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Hybrid

NVIDIA is seeking a highly motivated, experienced Hardware Engineer to join our dynamic and fast-paced Silicon Solutions Group! Artificial intelligence is changing the world significantly starting with the technologies used in our day to day lives, cars we drive, autonomous machines in agriculture farms factories, smart cities and science technology development activities. GPUs are providing spectacular speed ups to scientific and medical research, enabling the advancement of humanity like never before. There has never been a more exciting time to work in Nvidia. As part of the Silicon Solutions Team, we architect and deliver groundbreaking solutions for productizing NVIDIAs chips into consumer, professional, server, mobile, and automotive markets. Silicon characterization, correlation to arch design expectations, finalize product specifications, develop productization techniques and infrastructure around it are part of our responsibilities. Dealing with challenges of the latest process node technologies is also part of the work. With competitive salaries, generous benefits package and an outstanding culture, we are widely considered to be one of the technology world s most desirable employers. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. What youll be doing: Work with various Arch Design teams to come up with test plans of new features. Collaborate with other validation bring up teams to bring up/characterize silicon power and power saving features. Work with design estimation teams to correlate with pre-silicon expectations. Work with HW and SW teams to do the vital tuning and optimization of silicon power. Develop power consumption models to be used in binning, productization and customer application notes. Characterize and develop various power control mechanisms together with Arch/Design/SW teams. What we need to See: B. Tech or M. Tech in Electronics Engineering stream. At least 3+ years of related work experience. Strong understanding of aspects related to silicon power and performance, technology node impacts, Hardware and Software interactions at system level. Hands-on experience with silicon bring up, validation and productization Good knowledge in board and system design considerations, Power supply design. Very good problem solving and hardware debugging skills. Very good data analysis and logical reasoning skills. Strong familiarity with HW lab environment and understanding of various lab equipment. Experience in working with windows. Linux exposure is highly preferred. An understanding of PC architecture and various commonly used buses. Working experience with scripting languages like perl and/or python is a plus point. Must be a great teammate and ready to collaborate with global teams from diverse cultural backgrounds in a high energy environment. #LI-Hybrid

We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C/C++ programming skills, thorough knowledge of graphics concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation PC/hardware architecture. Excellent communication skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. What youll be doing: Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products. Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization. Assess new hardware features and architect manufacturing diagnostic solutions using pre-beta driver extensions. This job will require an understanding of our hardware and software architectures. What we need to see: BTech or MTech degree in one of following areas: Electrical Engineering, Computer Engineering, Computer Science or equivalent experience. 2+ years experience in a related hardware/software position. Strong C/C++ programming skills. Familiarity with PC architecture, and ability to work close to the hardware. Background with PCIE, Nvlink or server product technologies like Infiniband, Ethernet is a plus. Previous experience of working on a large system software code base is preferable. Very strong problem solving and debugging skills. Ability to self-manage, show leadership, and have good interpersonal skills. 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 forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If youre a creative and autonomous engineer with a real passion for technology, we want to hear from you.

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 fuelled 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 searching for world-class and forward-thinking do-it-all software engineers to join the DirectX Graphics software team. As a member of the DirectX Graphics team, you will work on the DirectX Driver software development supporting our broad family of GPUs. Our work has made a major impact in various fields and is used across leading academic institutions, startups, and industry, including the world s largest Internet companies. We need passionate, hard-working, and creative people to help us reach our Engineering goals. What you ll be doing: You will develop maintain outstanding DirectX Graphics Driver for NVIDIA GPUs with a focus on supporting single GPU system architectures. The work involves: Development of new OS and new chip graphics features for upcoming OS and chips respectively Development of graphics and AI based post-processing features and graphics algorithms for high-end rendering Development of fundamental stacks and features to use AI in graphics Collaboration with teams across the company to plan and drive software objectives for the team What we need to see: B. E. /B. Tech or higher degree in Computer Science/Engineering with significant graphics and system software-related project or thesis work 1+ or 2+ years of experience and passion about developing system software, device drivers, or embedded/graphics applications A deep understanding of computer graphics, computer architecture, operating system fundamentals, algorithms, machine learning and excellent C/C++ programming skills Diligent with proven ability to multitask in a dynamic environment with shifting priorities and changing requirements Ways to stand out from the crowd: Familiarity with 3D graphics concepts and graphics programming using DirectX or OpenGL is a strong plus Working experience inside operating system kernels and device drivers is also a plus Knowledge of machine learning algorithms and mathematics behind it is a strong plus NVIDIA is widely known as a top employer in the technology industry. We have some of the most forward-thinking and determined individuals on our team. If youre creative and dedicated, we want to hear from you.

We are now looking for a Senior Power Verification Engineer. NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of low power features for the world s leading Smart-NICs and DPUs which help accelerate network performance while reducing the CPU overhead of Internet Protocol (IP) packet transport, freeing more processor cycles to run applications. These networking processors also embed innovative hardware engines that offload and accelerate security with in-line encryption/decryption. With unmatched RDMA over Converged Ethernet (RoCE) performance, NVIDIA Smart-NICs and DPUs deliver efficient, high-performance remote direct-memory access (RDMA) services to bandwidth- and latency-sensitive applications! The Networking Chip Design in India is a new team which is growing at a fast pace! What you ll be doing: Work on structural and functional verification of low power aspects of NVIDIA s family of smartNICs and DPUs. Come up with test plans and coverage plans of these features. Write test cases, test bench components like assertions and coverage points, and own verification convergence. Collaborate with system level and unit level teams to cover the features well from functional, electrical, performance, and noise aspects. Be responsible for debugging waves to analyse power consumed by unit IP s. Work with architects, designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks. Validate/Correlate the effectiveness of the low power features on silicon. What we need to see: BS/MS or equivalent experience with specialisation related to Low Power techniques and Verification. 5+ years of experience. Fundamental understanding of power basics including transistor-level leakage/dynamic characteristics of VLSI circuits. Knowledge of power intent formats - UPF/CPF. Experience in Static Power check - tools like VCLP/MVRC or similar. Hands-on knowledge in Power aware dynamic verification - NLP/MVSIM or similar tools. Experience in design and verification tools (VCS, XCelium or equivalent simulation tools, Verdi, Indago or other debug tools). Familiarity with low power design techniques such as multi VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS). Exposure to Cluster / Sub-system / Fullchip / SOClevel verification environments Ways to stand out from the crowd: Prior experience of SmartNICs (or DPU) and/or high-speed interconnects. Good software programming skills. Python/Perl/C++ preferred. Confident debugging and problem-solving skills. Good interpersonal skills and ability & desire to work as an excellent teammate. 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 www. nvidiabenefits. com/ NVIDIA is committed to encouraging 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 will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

NVIDIA is seeking best-in-class Design Verification (DV) Engineers to verify world s leading Smart Network Interface Cards (Smart-NICs) and Data Processing Units (DPUs) which help accelerate network performance while reducing the CPU overhead of Internet Protocol (IP) packet transport, freeing more processor cycles to run applications. These networking processors also embed innovative hardware engines that offload and accelerate security with in-line encryption/decryption. With unmatched RDMA over Converged Ethernet (RoCE) performance, NVIDIA Smart-NICs and DPUs deliver efficient, high-performance remote direct-memory access (RDMA) services to bandwidth- and latency-sensitive applications. The Networking Chip Design in India is a new team which is growing at a fast pace. We are currently seeking an Experienced Verification Engineer with strong verification fundamentals to work in Networking Chip Design team. You will join a group of hardworking engineers to implement the next innovative Networking Silicon chip. You will work closely with architects, design engineers and verification engineers to accomplish your tasks. What youll be doing: Be responsible for verifying the smartNIC designs, architecture and micro-architecture using advanced verification methodologies. You are encouraged to understand the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design. Come up with test plans, tests and verification infrastructure for complex IPs/sub-systems. Use advanced verification methodologies like e-specman, SV-UVM etc. What we need to see: BS (or equivalent experience) / MS with 4+ years of experience in design verification. Exposure to design and verification tools (Verilog/SV or equivalent, Cadence or equivalent simulation tools, debug tools like Indago, GDB etc.). C/C++ programming/scripting language experience desirable. Prior experience of smartNIC and/or high-speed interconnects. Strong debugging, problem-solving and analytical skills. Scripting knowledge (Python/Perl/shell). Good interpersonal skills and ability & desire to work as a phenomenal teammate. 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 www.nvidiabenefits.com/ #LI-Hybrid

Move the needle in testing NVIDIAs SoC (Post Si) Validation team! As a highly skilled and motivated SW QA Test Developer you will push the boundaries for testing and automation. This role offers an outstanding opportunity to leave your mark on our verification strategy and influence our future test automation system. What youll be doing: You will have a unique opportunity to push the boundaries and ensure the perfect performance of NVIDIAs SoC. Your contributions will directly impact the verification strategy and quality of various products. Priorities do often change in a fast-paced environment like ours. Some of the exciting things you will work on are: Developing new and extending existing test strategies to guarantee the highest level of quality from both functional and performance perspectives. Your innovative approach will ensure that our products meet the standards expected from a world-class product. Designing and developing software that automates the verification of all SoC HW and SW components. Your expertise in developing efficient and reliable automation tools will play a crucial role in streamlining our testing processes. Collaborating with multiple development, verification, and customer-facing teams to gain a comprehensive understanding of products and their real-world applications. Your ability to collaborate effectively is essential for driving continuous improvement. Analyzing and root-causing issues down to the code level, leading the defect fixing process, and providing effective fixes. Your strong problem-solving skills will allow you to address challenges with efficiency and precision. What we need to see: Bachelors/Masters degree or equivalent experience in Electronics, Computer Science, or related fields. Must have 3+ years of professional experience in embedded devices or SoC HW/SW validation. Skilled in C or Python programming language. Experience using source control systems such as Git and Perforce. Experience in using AI coding assistants to improve coding efficiency and correctness Proficiency in Linux/Windows/Android OS. Strong interpersonal and communication skills are essential. Strong analytical skills. Your keen eye for detail and ability to analyze complex issues will enable you to proactively identify and resolve potential challenges. Ways to stand out from the crowd: Proficient in Mobile/Server/Automotive SOC HW/SW Stress Stability testing (MTBF, DPPM, etc.), automation and dashboard creations. Experience in developing AI based test solutions

TPM for Enterprise Applications, Automation & AI Our work at NVIDIA is dedicated towards a computing model passionate about visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also proven to be unbelievably effective at solving some of the most sophisticated problems in computer science. Today, NVIDIA s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Artificial intelligence is no longer science fiction. And in the next few years, it will transform every industry. As the TPM (Technical Program Manager) leader in our global IT PMO team, you will provide oversight on various Automation and AI, Enterprise applications programs/projects including new technology solutions within corporate IT. You will clarify and challenge objectives, develop roadmaps, assess the complexity and risks, unblock as needed, and partner with highly skilled technical resources to deliver quality solutions with agility and speed. In partnership with senior IT leaders, you will be responsible for global execution of your programs, ensuring consistency and timely execution in line with our PMO processes. Inspect and assess programs health; provide input for corrections needed or help raise up issues for quick resolution. What youll be doing: Lead multiple, concurrent complex programs or projects. Develop the roadmap and drive the execution of Automation & AI, Enterprise apps programs and projects Work with project owners to identify project scope, define success criteria, build and manage project budget, and outline resource requirements. Identify, Manage multi-functional dependencies. Communicate with stakeholders regularly to manage expectations and to provide project updates on scope, budget, and velocity. Involve project steering committee for guidance and key decisions. Provide quality status reports consistently. Interact and collaborate with multi-functional teams and different org levels. What we need to see: Bachelors Degree in computer science or other related technical subject area (or equivalent experience) 14+ Years of IT experience, 10+ years of experience successfully leading technical programs in a fast paced, multifaceted, enterprise environment with at least 3-5 years experience program managing in the Automation and AI, Enterprise Apps space. Technical capability in AI concepts including Generative AI, AIOps, SecOps, Enterprise search products. Ability to drive large transformation programs at scale & behave as an owner Agile execution expertise a must. Business Intelligence/visualization tools experience a must. Proven track record of delivering solutions when needed, while navigating a fast-paced environment with frequent shift in priorities. Strong communication skills both written and verbal/presentations. Ability to bridge from high-level objectives to project details and vice-versa. Ability to engage with IT & business leaders to unblock/advance projects as needed. Strong stakeholder management skills required. Willingness to work with distributed team members across different time zones.