Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles

USonsiteprincipal

Posted today · via Workday

About this role

Intelligent machines powered by artificial intelligence—computers that can learn, reason, and interact with people—are transforming every industry. GPU-accelerated deep learning provides the foundation for machines to perceive, reason, and solve complex problems. NVIDIA GPUs run deep learning algorithms that simulate aspects of human intelligence, acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We are seeking an exceptional Principal Perception Engineer to lead the design and productization of NVIDIA’s next-generation autonomous driving perception stack. This is a senior individual contributor role with broad technical leadership.…

Read the full description on Nvidia's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, c++, pytorch, transformers, modal…

2

Level fit

This role is principal-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in US. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
See if I'm a fit →

Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonc++pytorchtransformersmodalteams

More at Nvidia

See all open jobs at Nvidia