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Senior System Software Job In NVIDIA At Santa Clara, CA

Senior System Software Engineer, Automotive Safety

  • Full-Time
  • Santa Clara, CA
  • NVIDIA
  • Posted 3 years ago – Accepting applications
Job Description

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.

We are now the top tier artificial intelligence computing company and are paving the way with innovations in self-driving cars, machine learning, super-computing, gaming and visualization. We are building a team that will truly change the world, and we would love for you to join us. We are hiring for the position of Sr. System Software Engineer in Automotive Safety, focusing on developing a safety certified 3D graphics software stack. In this role, you will focus on applying V-Model methodologies to the development of graphics system software.

What you’ll be doing:

  • You will be working on safety critical software in our Tegra graphics team, responsible for building and supporting our graphics system software.

  • Lead safety documentation on requirements, architecture design, unit design to satisfy automotive functional safety processes such as ASPICE, ISO-26262 and ASIL

  • Drive creation and maintaince of safety work product developments such as requirements traceability, architecture decomposition & design and verification plans

  • Work closely with diverse teams of engineers to derive functional and safety requirements from use cases and integrate and validate requirements.

  • We will count on you to guide graphics teams in system safety engineering methodologies for development.

  • Drive complex cross-team technical issues to closure.

What we need to see:

  • BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience.

  • 5+ years of proven industry experience in automotive safety.

  • Being an expert in automotive standards such as ISO-26262, MISRA, Cert-C/C++, ASPICE, AUTOSAR, and ASIL.

  • Strong background in automotive safety concept, failure mode, common analysis tools such as FMEA

  • Dedicated and self-motivated, with a passion for developing safe and secure embedded software.

  • Excellent programming, architecture, and design skills, with hands-on experience in systems software engineering.

  • Strong background in developing software within a regulated development environment (medical, aerospace, automotive).

  • We seek engineers who bring experience in process definition, improvement, implementation, and roll-out.

  • We’re looking for engineers with strong communication skills who enjoy working across multiple teams/domains and are good in guiding and helping others.

Ways to stand out from the crowd:

  • An understanding of graphics fundamentals and in-depth knowledge of GPU and CPU architecture.

  • Experience with OpenGL, OpenGL SC or Vulkan.

  • Success applying the V-Model to complex engineering projects, ideally in all stages of the SW development life cycle.

  • Thorough understanding of the requirements management process and experience with tools (i.e. JAMA).

  • Hands-on experience with automotive software development and Agile development methodologies.

  • Ability to work and communicate effectively across multiple geographies in a multifaceted matrix organization.

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.

#deeplearning
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