Senior Compute System Software Engineer
NVIDIA · Posted Sep 20
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA GPUs have ignited a new era of computing with the advent of AI, and the high-quality, robust GPU software stack simplifies the realization of complex use cases across robotics, self-driving cars and industrial automation. The Compute System software team is looking for a Senior System Software Engineer to work on the architecture and design of user mode drivers that interact with GPU, DLA and other Tegra compute engines. The role focuses on functional safety software, parallel computation across GPUs and DLAs, and collaboration with architecture and hardware engineers on next generation silicon.
What you will do
- 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
Skills used in this role
What the employer is looking for
- 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
Preferred qualifications
- 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
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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