Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
NVIDIALead / Staff / Principal
$272,000 – $431,250
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA is hiring a principal-level perception engineer to lead the design and deployment of 3D obstacle detection systems for autonomous vehicles, working across deep learning architecture, model optimization, and cross-functional coordination. This role suits someone with 15+ years shipping production perception systems who can balance hands-on technical work with mentoring and setting strategic direction.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 15+ years developing deep learning perception systems for real-world problems
- Senior or principal-level individual contributor experience owning features end-to-end
- Data-driven development with collaboration on data strategy and labeling
- Strong Python and/or C++ programming with production software track record
- Communication and collaboration across multidisciplinary teams
- BS/MS/PhD in Computer Science, Electrical Engineering, or equivalent experience
Nice to have
- Track record leading perception solutions for autonomous driving or robotics at scale
- Experience architecting DNN perception pipelines on embedded or real-time platforms with latency and compute optimization
- Publications or recognized contributions at CVPR, ICCV, NeurIPS, IROS or similar venues
- Deep understanding of 3D geometry and camera modeling applied to transformer or BEV perception
- CUDA development experience optimizing training or inference pipelines