System Software Engineer - Autonomous Vehicles

Reposted 9 Days Ago
Be an Early Applicant
4 Locations
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves collaborating with engineering teams to develop and optimize software for NVIDIA's self-driving platform, interacting with customers to refine products, and leveraging strong programming skills in various technologies.
Summary Generated by Built In

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.

What you’ll be doing:
  • Collaborate with software and hardware engineering teams to build, develop, validate, and optimize software on NVIDIA's DRIVE self-driving platform.

  • Directly collaborate with customers and partners to develop DRIVE platforms into products.

  • Collaborate with customers and partners to identify requirements, build, and refine their products.

What we need to see:
  • BS or MS in Computer Science, Electronics Engineering, or an equivalent field from top institutes.

  • 2+ years of experience with a focus on Embedded Software, Imaging, Video, Graphics, Vision, or Deep Learning.

  • Strong programming knowledge in C, C++, and Python.

  • Good understanding of Linux, QNX, Android, or Real-time operating systems.

Ways to stand out from the crowd:
  • Experience is using Large Language Models (LLMs), CUDA, and TensorRT.

  • Understanding of Camera Sensors, Image Signal Processing (ISP), and Deep Learning accelerators.

  • Experience working on Linux or QNX device drivers or Embedded software.

  • Familiarity with one or more system safety methodologies and standards such as ASPICE, ISO 26262, IEC 61508, or ISO/PAS 21448.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.

NVIDIA is committed to encouraging a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in all employees. We do not discriminate in hiring or promotion based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other protected characteristic.

Top Skills

Android
C
C++
Linux
Python
Qnx
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

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. Today, NVIDIA is increasingly known as “the AI computing company.”

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