Senior System Software Engineer, Compute System at NVIDIA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

System Software Engineering, GPU Architecture, Functional Safety Software, Parallel Programming, CUDA, OpenCL, Deep Learning Frameworks, Pytorch, TensorFlow, Safety Critical Software, Software Audits, Software Safety Analyses, FMEA, FTA, ETA, HAZOP

Industry

Computer Hardware Manufacturing

Description

NVIDIA GPUs have ignited a new era of computing with the advent of AI, for which the GPU acts as the brain of computers. Robotics, self-driving cars, industrial automation, and many other domains benefit from the computing power of GPUs. The high-quality and robust GPU software stack simplifies the realization of complex use cases. This has been possible because of the amazing group of people working here at NVIDIA who made this happen. We are now looking for a Senior System Software Engineer in Compute System software team to work on the architecture and design of the user mode drivers that interact with GPU, DLA and other Tegra compute engines. What you’ll be doing: You will be involved in the definition, architectural design and analysis, and development of groundbreaking functional safety software, with an opportunity to shape the future of parallel computation on GPUs as well as DLAs Modify complex software designed for diverse domains and fortify it to meet the standards vital for deployment in critical automotive sectors, while also successfully acquiring safety certification. Participate in development of proprietary and open computing standards and contribute to the development of next generation GPUs and DLAs in collaboration with architecture and HW engineers at NVIDIA Inculcate a culture of high quality software development in the team, mentor other engineers What we need to see: BS/MS degree in Computer Science or related field or equivalent experience Passionate about high quality software engineering, and a desire to contribute towards creating better software Fair understanding of computer architecture, OS fundamentals 8+ years of proven experience in complex software development, design, and analysis Strong teammate; self-motivated and good demeanor A strong desire to learn, grow and create Ways to stand out from the crowd: Background with Parallel Programming, particularly in CUDA, OpenCL, or Renderscript Previous experience working on Deep learning frameworks including Pytorch, TensorFlow, ONNX Prior experience in working on special purpose or fixed functionality HW like DLA, NPU, ISP, DSP. Prior experience with developing safety critical software, or hardening and taking complex software through software audits Hands-on background with software safety analyses, such as FMEA, FTA, ETA, HAZOP, DFA/coexistence analysis/freedom from interference, etc NVIDIA is committed to cultivating a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

You will define, design, and develop functional safety software for GPUs and Tegra compute engines. Additionally, you will modify complex software for critical automotive sectors and mentor other engineers.