Total 13 job vacancies by IN01 NVIDIA Graphics Bengaluru

NVIDIA’s 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 — with the GPU acting as the brain 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. In this position, you'll be responsible for developing and enhancing various features in the GPU architecture.

What you will be doing:

• Contribute to advancing GPU Architecture and Simulators.

• Understand and model in C++, features for future graphics and parallel processing architectures.

• Develop test plans and testing infrastructure.

• Debug tests on architecture simulators.

• Develop tools to validate performance models and verify functional models.

What we need to see from you:

• A Masters/Bachelor’s degree in CS or Math, with 8+ years of relevant experience in Computer Architecture, Compilers, Parallel programming or related field.

• Ability to work with teams spanning both hardware and software boundaries.

• Strong programming ability in C, C++, and Python.

• Strong understanding of data structures and algorithms.

Ways to stand out from the crowd:

• Experience in graphics algorithms, compilers, and/or signal processing.

• Programming in CUDA, DX and Vulkan

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. Please contact us to request an accommodation.

We are now looking for a Senior Circuit Design Engineer! 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 created a team of exceptional 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.

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 that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. Make the choice to join us today.

What you'll be doing:

• Full custom circuit design involving memory arrays like multi-port register files, SRAMs, and/or caches, for performance critical IPs like CPUs/GPUs.

• Have to perform transistor level circuit and logic design, spice verification, schematic entry and coordination with layout team.

• Ability to understand architectural specifications and develop custom SRAM circuits which meet stringent performance, area and power requirements.

• Ability to close design to the specs by running various flows like EM, IR, Noise, static timing analysis.

• Develop state of the art flows for timing, EM/IR or other verification needs.

• Develop variation tolerant circuits in advanced technologies like 7nm and below.

What we need to see:

• BE/M-Tech in Electrical & Electronics, or equivalent experience.

• 5+ Years of relevant experience in SRAM Design / Circuit design

• Have sound fundamentals in CMOS devices, basics of VLSI design and really good timing concepts involving dynamic and sequential circuits.

• Prior experience is required with Cadence virtuoso environment, hspice simulations, variation analysis and transistor level design.

• Proficiency in Perl/Python or equivalent scripting language is a requirement.

• Prior exposure to some form of memory design (like SRAMs or register files) will be a huge advantage.

• Experience in advanced technology nodes like 16/7 nanometers is a huge plus.

• Prior exposure with circuit flow development will be helpful.

• Good interpersonal skills, Should be an excellent teammate.

We are an equal opportunity employer and value diversity at our company. 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 minds in the world working for us and, due to unprecedented growth, our 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.

We are now looking for a CPU Design Engineer.

Today, NVIDIA’s SOCs simulate human intelligence, running deep learning algorithms and acting as the brain of super-computers, robots, and self-driving cars that can perceive and understand the world. We are seeking a passionate, innovative, and highly motivated senior design engineer to work on the design and implementation of a complex design unit that is an integral part of its CPUs.

What you’ll be doing:

• Design and implementation of modules.

• Make architectural trade-offs based on features, performance requirements and system limitations

• Come up with micro-architecture, implement in RTL, and deliver a fully verified, synthesis/timing clean design

• Support silicon validation

• Work with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks

What we need to see:

• BS or MS in electrical engineering or computer engineering or equivalent experience

• 2+ years of experience working on ASIC development

• Experience in micro-architecture and RTL development of high-performance CPU designs

• Good understanding of ASIC design flow including RTL design, verification, logic synthesis, prototyping, DFT, timing analysis, floorplanning, ECO, bring-up & lab debug

• Experience in working on complex designs

• Experience in low-power design techniques

Ways to stand out from the crowd:

• Good debugging and problem solving skills

• Good communication skills and ability & desire to work as a team player

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 brilliant and talented people in the world working for us and, due to unprecedented growth, our elite 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. 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, gender, sexual orientation, age, marital status, veteran status, or disability status.

Do you enjoy hacking and tinkering at the lowest levels of software? Are you capable of crafting and implementing creative secure firmware solutions in heavily resource-constrained environments? If so, you’re primed to help develop the boot software that powers the world’s best GPUs. We are searching for an outstanding software engineer to fill an exciting, yet fun role on our GPU Firmware team. You will be joining a team whose primary mission is solving the intricate enigma of securing and innovating the boot process for our GPUs, while working through the formidable constraints of boot-time and storage space. Every. Byte. Counts. This is your chance to create waves in the industry while directly working with and alongside some of the most top-valued diverse set of minds in the business. Your goal will be to shape the future of GPU technologies doing exactly what you enjoy: solving puzzles. If this sounds exciting and you’re up for the task, we’d certainly like to hear from you!

What you’ll be doing:

• Design, develop, test, debug, and optimize creative solutions for GPU firmware throughout the entire GPU lifecycle

• Work closely with hardware, software, infrastructure, and business teams to transform new firmware features from idea to reality

• Work with leading OS and PC vendors to improve and innovate on the boot experience

• Improve team software process and core infrastructure by enhancing build systems and regression farms

What we need to see:

• BE or MTech degree in EE/CS/CE (or equivalent experience)

• 4+ years' experience in developing device BIOS, firmware, or other low-level software

• Familiarity with industry standards and specifications such as SPI, I2C, PCIe, UEFI and PLDM

• Strong C skills

• Good knowledge on operating systems and computer architecture concepts

• Even stronger interpersonal skills

• Sense of humor heavily encouraged, but not required

• Deep understanding of software process

• Easy to work with, as you’ll constantly work closely with both hardware designers and other software engineers to design, develop, and debug functional (and non-functional!) aspects of GPU subsystems

Ways to stand out from the crowd:

• Experience in x86/RISCV/ARM assembly and knowledge of the PC/PCIe/UEFI architectures

• A background with display technologies such as DP, HDMI, and VGA/VESA specs

• EEPROM/Flash and storage device programming experience

• Experience with secure development techniques such as threat models, attack-trees, static/dynamic analysis, fuzzing, and negative testing

• Passion for your work

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.

We are seeking an innovative Senior Physical Design & Timing Methodology Engineer to help drive sign-off strategies for the world's leading GPUs and SoCs. This position is a broad opportunity to optimize performance, yield, and reliability through increasingly comprehensive modeling, insightful analysis, and automation. This work will influence the entire next generation computing landscape through critical contributions across NVIDIA's many product lines ranging from consumer graphics to self-driving cars and the growing domain of artificial intelligence. We have crafted a team of highly motivated people whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. If you are fascinated by the immense scale of precision, craftsmanship, and artistry required to make billions of transistors function on every die at technology nodes as deep as 5 nm, this is an ideal role. 

What you will be doing:

• Collaborate with technology leads, circuits and systems teams, VLSI physical design, and timing engineers to define and deploy the most sophisticated strategies of signing off timing in design for world-class silicon performance.

• Understand corner case timing sign-off risks in the latest 5nm and deeper technology nodes. Develop strategies to mitigate and margin for them. 

• Develop tools and methodologies to improve design performance, predictability, and silicon reliability beyond what industry standard tools can offer.

• Extensively work with our ASIC Physical Design team to help develop methodologies, flows, and tools across a wide spectrum of domains - STA, constraints, floorplanning, timing and power optimization.

What we need to see:

• Master’s Degree in Electrical Engineering, Computer Science, or Computer Engineering or equivalent work experience

• 5+ years of relevant work experience

• Deep understanding of backend design process, especially advanced STA.

• In depth understanding of  PT and/or Tempus

• Expertise in coding -- TCL, Perl, Python. C++ is a plus!

• Strong communication and interpersonal skills 

Ways to stand out from the crowd:

• Expertise in developing advanced STA flows  

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! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

We have an exciting opportunity for a talented Senior System Software Engineer to join our dynamic Automotive Team and help us develop innovative, secure, and high-performance automotive systems. If you have a good understanding of operating systems and computer architecture, experience in device driver development and performance tools, and strong C/C++ or Ada/SPARK programming skills, we want to hear from you! Join us in creating the future of automotive technology and be part of a team that is revolutionizing the industry.

We are a leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing, and self-driving cars. NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Our unified computing architecture makes it possible to train deep neural networks in the data center on the NVIDIA DGX™, and then seamlessly run them on NVIDIA's DRIVE platform inside the vehicle. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA DRIVE® platform to deliver the best solutions for the new world of mobility. As a Senior System Software Engineer in the Automotive team, you will get an opportunity to work on Nvidia's latest SOCs, help tackle complex and important problems, and work alongside industry experts in diverse teams and projects.

What you’ll be doing:

• Design and develop safety (ISO26262) and security (ISO21434) compliant system software for NVIDIA DRIVE platform for autonomous vehicles

• Design simple and creative solutions for complex system problems, by decomposing the problem into smaller problems.

• Design Real Time System Software solutions for NVIDIA Tegra SOC

• Perform development & bring-up activities for next-generation Tegra SOC hardware

• Work with the ASIC teams to enhance virtualization support in the SOC

• Design debugging solutions and tooling to improve developer experience on DRIVE platform

• Learn to harness maximum and consistent system software performance and develop workflows and tools to measure performance

• Handle complex issues requiring interactions between components partitioned across the large software stack

• Extensively use Formal Methods to develop high integrity software, benefiting from enhanced toolchain automation.

What we need to see:

• Bachelors/Masters or equivalent experience in Computer Science from a reputable engineering college

• 8+ years of experience in System Software development on real time embedded systems

• Strong understanding of computer architecture and operating system fundamentals

• Strong C/C++ and/or Ada/SPARK programming and debugging skills

• Hands-on experience with debugging tools like gdb, valgrind

• A dedicated, action-oriented, strong teammate, who’s self-motivated with excellent analytical and interpersonal skills

Ways to stand out from the crowd:

• In-depth knowledge of embedded systems and real time operating systems, like QNX and RT Linux skills

• Good understanding of ARM architecture and writing low level software for ARM v8 based SOCs

• Experience in taking features from inception to the product following Software Development Life Cycle (SDLC) practices

• Hands-on experience with performance analysis tools, such as gprof, perf, system analyzer tools

• Hands-on experience with formal methods, especially using TLA+ and Ada/SPARK toolchains.

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 talented people in the world working for us. Do you want to be one of them? If you're creative and self driven, we want to hear from you! 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, gender, sexual orientation, age, marital status, veteran status, or disability status.

NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training Large Language Models (LLMs) and implementing workflows based on Retrieval-Augmented Generation (RAG). As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of NVIDIA's generative AI technologies. This position requires a deep understanding of language models, particularly LLMs, and a strong proficiency in designing and implementing RAG-based workflows.

What you will be doing

• Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows.

• Work closely with our customers stakeholders like product, business, engineering and research in defining their product roadmap based on our AI Software & Hardware platforms.

• Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI technologies.

• Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and RAG workflows and lead the training and optimization of Large Language Models using NVIDIA’s hardware and software platforms.

• Implement strategies for efficient and effective training of LLMs to achieve optimal performance.

• Design and implement RAG-based workflows to enhance content generation and information retrieval.

• Work closely with customers to integrate RAG workflows into their applications and systems and stay abreast of the latest developments in language models and generative AI technologies.

• Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions.

What we need to see

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience

• 5+ years of hands-on experience in a technical role, specifically focusing on generative AI, with a strong emphasis on training Large Language Models (LLMs).

• Proven track record of successfully deploying and optimizing LLM models for inference in production environments.

• In-depth understanding of state-of-the-art language models, including but not limited to GPT-3, BERT, or similar architectures.

• Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.

• Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs.

• Strong knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference.

• Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

• Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.

Ways To Stand Out From The Crowd

• Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure.

• Proven ability to optimize LLM models for inference, memory efficiency, and utilization.

• Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.

• Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts.

• Hands-on experience with NVIDIA GPU technologies, and GPU cluster management and ability to design and implement scalable and efficient workflows for LLM training and inference on GPU clusters

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! 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.

At NVIDIA, our passion is working with the world's most challenging problems in LLM, MLLM ,Generative AI, RAGs using our innovative platforms. A Senior Solution Architect brings focus and technical expertise about NVIDIA technological advances to our partners and customers.

What You’ll Be Doing:

• You will be part of our India Solution Architecture Team working with key Fortune 100 customers to drive NVIDIA technology adoption and secure innovative design wins in both Data Center, Edge and Cloud Deployments.

• Develop and demonstrate solutions to customers based on NVIDIA’s LLM, MLLM ,RAG application frameworks, LLM optimization and scaled deployment frameworks

• Work closely with customers to build innovative blueprints for key Industry use-cases on LLM,MLLM & RAG

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins for customers and growth of NVIDIA product features through customer feedback.

What we need to see

• BTech/MS in Computer Science or equivalent experience.

• Excellent in-depth hands-on understanding of NLP, LLM, MLLM,Generative AI , and RAG workflows

• 5+ years’ experience as a Data Scientist with a proven track record in writing code in Python, PyTorch/ TensorFlow. C++ experience is a bonus

• Ability to communicate your ideas/code clearly through GitHub, documentation, and presentations.

• Enjoy collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing

• Effective verbal/written communication, and technical presentation skills

• Self-starter with a passion for growth, enthusiasm for continuous learning and sharing findings across the team

Ways to stand out from the crowd

• External customer-facing skill set and background.

• Development experience with NVIDIA software platforms, libraries, and GPUs

• Knowledge of MLOps technologies such as Docker/containers, Kubernetes, data center deployments etc

**We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and data science conferences.

With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. NVIDIA is committed to fostering a diverse work environment and is 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) based on race, religion, colour, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training Large Language Models (LLMs) and implementing workflows based on Retrieval-Augmented Generation (RAG). As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of NVIDIA's generative AI technologies. This position requires a deep understanding of language models, particularly LLMs, and a strong proficiency in designing and implementing RAG-based workflows.

What you will be doing

• Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows.

• Collaborate closely with customers to understand their language-related business challenges and design tailored solutions.

• Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of LLM and RAG capabilities.

• Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI technologies.

• Engage directly with customers to understand their language-related requirements and challenges.

• Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and RAG workflows and lead the training and optimization of Large Language Models using NVIDIA’s hardware and software platforms.

• Implement strategies for efficient and effective training of LLMs to achieve optimal performance.

• Design and implement RAG-based workflows to enhance content generation and information retrieval.

• Work closely with customers to integrate RAG workflows into their applications and systems and stay abreast of the latest developments in language models and generative AI technologies.

• Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions.

What we need to see

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience

• 5+ years of hands-on experience in a technical role, specifically focusing on generative AI, with a strong emphasis on training Large Language Models (LLMs).

• Proven track record of successfully deploying and optimizing LLM models for inference in production environments.

• In-depth understanding of state-of-the-art language models, including but not limited to GPT-3, BERT, or similar architectures.

• Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.

• Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs.

• Strong knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference.

• Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

• Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.

Ways To Stand Out From The Crowd

• Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure.

• Proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization.

• Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.

• Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts.

• Hands-on experience with NVIDIA GPU technologies, and GPU cluster management and ability to design and implement scalable and efficient workflows for LLM training and inference on GPU clusters

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! 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 ASIC Verification Engineer. We are now looking for a Senior Verification Engineer to verify and implement common IPs used in world’s leading Smart Network Interface Cards (Smart-NICs), Data Processing Units (DPUs), GPUs and also Tegra SOCs.

NVIDIA’s Networking Chip Design group works on 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.

What you will be doing:

• Be responsible for verifying the complex IP 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

• 5+ 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.

• Any Prior experience of smartNIC and/or high-speed interconnects.

• Strong debugging, problem-solving and analytical skills.

• Scripting knowledge (Python/Perl/shell).

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 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 currently seeking Verification Engineer with strong verification fundamentals to work in Switch Silicon group. You'll join a group of hardworking engineers to craft and implement the next generation innovative Switch Silicon chips. In this position, you'll 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 you'll be doing:

• Verify Switch design's 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 5+ 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.

We are now looking for a Senior ASIC Verification Engineer to verify and implement the world’s leading Smart Network Interface Cards (Smart-NICs) and Data Processing Units (DPUs).

NVIDIA’s Networking Chip Design group works on 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.

What you will 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

• 5+ 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.

• Any Prior experience of smartNIC and/or high-speed interconnects.

• Strong debugging, problem-solving and analytical skills.

• Scripting knowledge (Python/Perl/shell).

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 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 Software Engineer to build and maintain highly scalable cloud platform that drives the most demanding and resource-intensive GPU-powered services like GeForce Now. At NVIDIA, we pursue the goal of making AI, deep learning, and high-end gaming available for everyone in the cloud at a click of a button. Your work will craft the services and infrastructure that powers NVIDIA's GPU accelerated data centers worldwide.

What you’ll be doing:

• Design and implement platform cloud services for providing GPU-accelerated IaaS

• Extend and supplement kubernetes and kubevirt functionalities to address the requirements of the platform

• Evaluate and adopt or build the best suited technologies, solutions, OSS for the platform

• Work with upstream OSS ecosystem to drive and contribute to improvements in various OSS used in the platform

• Work closely with other teams and clients on new services or features/improvements of the platform

• Support and maintain your services on the cloud in assistance with SREs

What we need to see:

• BS (or equivalent experience) or MS in Computer Science or equivalent program from an accredited University / College

• 3+ years of hands-on experiences building system software and/or scalable cloud services

• Strong self-initiative, passion, interpersonal skills, and agility working with new technologies

• Strong software and design fundamentals

• Proficiency in Golang/C/C++

• Great problem solving and debugging skills

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. If you're creative and autonomous, we want to hear from you! 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.