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.
We are looking for an outstanding software engineer for an exciting role in the Autonomous Vehicle Platform team who is a strong technical developer, someone with a strong background in C++ development, and a thorough understanding of applications which uses computer vision, image processing, and video algorithms. You will work closely with internal drive platform software/hardware engineering teams and external partners to develop and deliver extraordinary features to the current and next-generation of autonomy.
What you'll be doing:
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.
Together we will collaborate and connect with multiple teams in our company.
What we need to see:
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
#LI-Hybrid
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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