Senior System Software Engineer

at Nvidia

📍 Santa Clara, United States

$180,000-339,200 per year

SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Software Development @ 7 Algorithms @ 4

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Responsibilities

  • Work alongside brilliant engineers on core technologies, and implement and optimize system software to enable real-time AI applications using NVIDIA GPUs.
  • Realize complex compute algorithms running in a constrained environment such as an automotive embedded system based on NVIDIA's Tegra SOC.
  • Drive features through the product cycle - from proof-of-concept to production.
  • Collaborate and connect with multiple teams in our company.

Requirements

  • BS/MS/PhD degree in Computer Science/EE or related or equivalent experience
  • 8+ years of engineering experiences in developing applications on embedded devices
  • Excellent C/C++ programming skills.
  • Strong SW architecture skills; experience in designing performant embedded systems leveraging SW/HW expertise
  • Strong system software development and system debug skills
  • Highly motivated, with strong analytical and interpersonal skills
  • Familiarity with the V&V process for automotive SW development

Ways to stand out from the crowd:

  • Familiarity with ISO26262 or a similar development process. Experience with automotive safety and security processes.
  • Background in Graphics, Camera, and Multimedia pipelines
  • Experience with CUDA, OpenGL, Vulcan.
  • Experience with video compression and real-time video streaming
  • Understanding of image processing and computer vision algorithms.