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Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
Summary by AIEngineer.careers
Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles is a Computer Vision Engineer role (full-time). with NVIDIA. in SANTA CLARA, US. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
SANTA CLARA · US
—
Full-time
PRINCIPAL
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
NVIDIA is seeking a Principal Perception Engineer to lead the development of obstacle foundation models for autonomous vehicles. The role focuses on applying deep learning and computer vision techniques to advance perception systems. You will work with PyTorch, Python, and C/C++ to build and optimize models for real-world driving scenarios.
Responsibilities
- Develop and optimize obstacle foundation models for autonomous vehicle perception
- Apply deep learning and computer vision techniques to improve detection and classification
- Collaborate with cross-functional teams to integrate perception models into production systems
- Stay current with state-of-the-art research and implement novel approaches
Requirements
- Deep expertise in deep learning and computer vision
- Proficiency in PyTorch and Python
- Strong programming skills in C/C++
- Experience with large-scale perception systems for autonomous vehicles
Nice to Have
- Experience with foundation models or self-supervised learning
- Publications in top-tier computer vision or machine learning conferences
NVIDIA
Santa Clara · US · 36410+ employees
NVIDIA is a pioneer in accelerated computing that invented the GPU, sparking the growth of modern AI and computer graphics. It is now a full-stack computing company providing data-center-scale offerings.
