- Minimum Requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- 2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus.
- Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).
- Experience in data-driven development and collaboration with data and ground truth teams.
- Strong programming skills in python and/or C++.
- Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.
Ways to Stand Out from the Crowd
- Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras.
- Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.
- Proven expertise in deep learning backed up by technical publications in leading conferences/journals.
- Expertise with Visual Language Models, Transformers, BEV architectures, and modern traffic signal perception techniques. Experience in working on complex object detection and recognition problems is a big plus.
Intelligent machines powered by AI are no longer science fiction. GPU Deep Learning has made it possible for self-driving cars to learn, perceive, and reason about the world. NVIDIA GPUs power the algorithms that enable both traffic element understanding and scalable perception across global road systems. Join us and help define the future of reliable, data-driven autonomous driving.
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.