Senior Compute System Software Engineer

NVIDIA Corporation

Bengaluru

On-site

INR 4,000,000 - 6,500,000

Full time

7 days ago
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Job summary

NVIDIA Corporation in Bengaluru is seeking a Senior System Software Engineer to join the Compute System software team, focusing on architecture and design of user-mode drivers for GPU, DLA, and Tegra compute engines. You will contribute to safety-critical software for automotive domains and collaborate with hardware engineers on next-generation GPUs and DLAs.

The role requires strong software engineering fundamentals, architecture understanding, and 5+ years of experience.

Qualifications

  • BS/MS degree in Computer Science or related field or equivalent experience.
  • Strong passion for high quality software engineering and learning.
  • Good understanding of computer architecture and OS fundamentals.
  • 5+ years of proven experience in complex software development, design and analysis.

Responsibilities

  • Define, architect and analyze software for user-mode drivers interacting with GPU, DLA and Tegra compute engines.
  • Modify complex software to meet safety-critical automotive standards and support safety certification.
  • Contribute to development of next-generation GPUs/DLAs in collaboration with architecture and HW teams.
  • Mentor engineers and promote a culture of high-quality software development.

Job 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.
  • 5+ 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.

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