Total 8 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 looking for a Hardware and Software Developer. The role is multifaceted - SoCV testbench Infrastructure, Bare-metal boot, Silicon Bringup Tools and CPU/SOC/GPU test frameworks. It involves a detailed understanding of the NVIDIA CPU, GPU, SOC system and boot architectures. The tools and technologies are complex and involve code that coordinates many IPs in the overall SOC. A key part of NVIDIA's strength is our development tools and environments that enable our incredible pace of delivering new technology to the market. We are looking for a creative and hardworking engineer who is passionate about joining a dynamic & agile SoCV/Emulation Infrastructure and test-frameworks team.

What you will be doing:

• The work includes building tools, infrastructure, and test frameworks used in RTL-simulations, c-simulations, Emulation, FPGA, and on Silicon.

• You will understand Tegra system architecture, with a focus on all IPs in the SOC that are involved in boot and security features.

• The tools that you build give Design and Verification teams the ability to access registers/memory/DMA engines and other features in their unit. The tools also enable test re-use across multiple platforms (RTL, models, Emulation, and Silicon). The gamut of tools is wide and you also develop features used for Silicon bring up (example: FUSE, ATE, Security, Flash/DMA, Board I2Cs, USB debug devices among others). We strive for the highest quality of test frameworks and tools that we deliver from this team.

• You would assess and build C-model or RTL-simulation capability that allows us to simulate the features before Silicon arrival in a pre-silicon environment.

What we need to see:

• BS or MS in Computer Science or Electronics Engineering or equivalent experience with 5+ years of experience

• Strong programmer who is proficient with C, C++, Python.

• Understanding of SOC and System Architecture.

• Understanding of How the SOC Devices like DMA, interrupt-engines, CPU, boot-devices, MMU/IOMMU function.

• Operating System and Device-Driver concepts and ability to write no-OS test frameworks - i.e tests that run directly on the bare-metal SOC.

• A good programmer takes pride in building scalable and maintainable software.

• Understanding Hardware and/or Software development life cycle.

Way to stand out from the crowd:

• Previous experience handling Silicon Bringup and in enabling Emulation/FPGA related test frameworks.

• Exposure to Testbench architectures (C++ testbenches, SV/UVM based testbenches).

• Verilog and System Verilog coding skills are a plus.

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.

We are looking for a System Software Architect – Programmable Vision Accelerator. As the market leader in deep learning and parallel computing, NVIDIA is seeking an expert system software architect to lead the design and implementation of firmware and driver stack for NVIDIA's Programmable Vision Accelerator (PVA) engine in the Tegra SoC platform. As a Software Architect, you will join a team of software engineers to create and evolve an essential part of the software stack responsible for scheduling and execution of highly optimized computer vision and machine learning kernels for specialized DSP hardware. You will use your design abilities, coding expertise, and creativity to help deliver innovative real-time firmware and kernel mode drivers for a low power, high performance computer vision accelerator engine.

You will be architecting and developing new features and improvements to realize the groundbreaking potential of NVIDIA mobile systems, ranging from self-driving cars, intelligent video analytics and autonomous mobile robotics. You will need to demonstrate excellent technical leadership, communication, interpersonal, and analytical skills as well as a real passion for performance-oriented software engineering. If this sounds like a fun challenge, we want to hear from you!

What you will be doing:

• Evolve and define software architecture for future NVIDIA's Programmable Vision Accelerator (PVA) chips and enhance the functionality of currently shipping products.

• Design and write custom embedded software for PVA engine to meet product and hardware requirements at the SoC level.

• Help defining forward-looking strategy and improvements to the PVA algorithms and system architecture.

• Review hardware specifications and map algorithms to the architecture.

• Participate in the bring-up of the new generation of the world's most advanced SoC.

• Collaborate closely with other teams and software/hardware architects across NVIDIA to support the architecture, design, creation, integration, and validation of PVA software under a common SoC umbrella.

• Provide technical support and guidance for internal and external customers.

• Mentor and guide technical development of the less experienced team members

What we need to see:

• College degree (preferably PhD or MS) in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience

• 10+ years of working experience in embedded industry, including 5+ years in technical leadership role

• Deep understanding of SoC principles, general systems architectures, operating systems, device drivers, memory management, multithreading, and real-time scheduling.

• Deep understanding and working experience with embedded technologies including DSP, computer vision and image/signal processing.

• Excellent software development skills (C, C++) and outstanding problem-solving capabilities.

• Proven expertise in architecting embedded software and development of highly optimized code for DSP, SIMD and/or VLIW processors

• Experience with embedded Linux and/or QNX.

• Outstanding interpersonal skills with ability to work in a global and diverse team operating in a fast-paced environment.

• Good understanding of safety-critical software principles with experience in automotive or other highly regulated industries

Ways to stand out from the crowd:

• Experience with ISO 26262 and IEC 61508 or equivalent quality/safety processes.

• Understanding of software safety and safety development processes is a major plus.

• Consistent record to effectively guide and influence in a technically strong dynamic environment.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.

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.

We are now looking for an experienced leader to drive our NVIDIA AI Technology Center program in India! You will be a technical leader, responsible for programs to help accelerate the adoption of NVIDIA's technology by leading academic and public sector researchers. You will focus on technical engagements supporting researchers and developers at our higher education and research universities and labs as they adopt our platforms and solutions across high performance computing and AI. You will work cross-functionally within our organization and will ensure a positive experience integrating NVIDIA products into researcher workflows. You will help us grow and maintain a diverse team. You should be comfortable working in a dynamic environment and have experience working with NVIDIA accelerated computing software and systems.

What you’ll be doing:

• Supporting Higher Education, Research, and Ministerial customers and driving research collaborations/influencing new business in those customers and academic collaborations.

• Support professors, researchers and ministries on their Deep Learning research works and assisting customer in building innovative solutions.

• Closely follow academic researchers and developments integrating NVIDIA technology into AI and HPC architectures for sophisticated applications.

• We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers and collaborators successful.

What we need to see:

• MS/PhD in a technical or scientific field

• A total of at least 10 years of related experience including both industry and academia

• Solid track record of publications and grants

• Consistent record of international teamwork

• Proficiency English and Hindi (spoken and written)

• Existing expertise in AI and computational science

Ways to stand out from the crowd:

• Prior experience with NVIDIA platforms

• Prior experience leading a corporate research / research support team.

• Participation or leadership in a national or international scientific or engineering society (e.g. IEEE, ACM, SIAM or similar)

• Publications or public talks on GPU or AI accelerated scientific computing.

• Expertise in quantum computing

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.