NVIDIA
Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
$184K–$356K
US, CA, Santa Clara +5 · Senior · Full-time · Posted Oct 2, 2026
- Location
- US, CA, Santa Clara
US, NY, Remote
US, WA, Remote
US, Remote
US, CA, Remote
US, MA, Remote - Experience
- PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience.
- Education
- PhD, MS, or BS (or equivalent experience) in Computer Science, Computer Engineering, or a related technical field.
About the job
Design, implement, and productize 3D obstacle perception models and pipelines for autonomous driving, improving detection, tracking, and deployment performance.
What you'll do
- Develop architecture, algorithms, and roadmaps for 3D obstacle perception.
- Build and evaluate deep learning models using camera and/or multi-sensor inputs; analyze data and improve model performance.
- Collaborate on data strategy and coordinate with safety, systems, and software teams to prepare perception systems for deployment.
What they ask for
- Hands-on experience developing deep learning-based perception or related systems, including taking models from prototype to production.
- Strong proficiency in frameworks such as PyTorch.
- Experience in data-driven development with data, labeling, and ground-truth teams.
- Strong programming skills in Python and/or C++, and experience building production-quality software.
Nice to have
- Experience deploying autonomous-driving or robotics perception, including on embedded or real-time platforms.
- Experience with 3D computer vision, CUDA, or relevant research contributions.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
PyTorch, Python, C++, CNN, transformers, LoRA, vision-language models (VLMs), CUDA
AI focus
Develop deep learning perception models for autonomous driving, including transformer-based and multi-modal methods; use pretraining, distillation, self-supervised learning, LoRA, and vision-language models where beneficial. NVIDIA also states that it uses AI tools in recruiting.
Model-written summary · the original posting is authoritative