Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
$272k - $431k • Remote • US, CA, Santa Clara
Posted 17d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
NVIDIA is seeking a Principal Perception Engineer to lead the design and productization of next-generation autonomous driving perception stacks. This senior individual contributor role involves setting technical direction for 3D obstacle perception, driving cross-functional execution, and mentoring engineers. The role requires deep hands-on involvement in architecture, algorithms, and implementation, with a focus on modern transformer-based, multi-modal, and vision-language techniques. The goal is to build intelligent machines that can perceive, reason, and solve complex problems using GPU-accelerated deep learning.
Responsibilities
- Own the technical vision, architecture, and roadmap for 3D obstacle perception.
- Design and develop advanced 3D perception models using multi-camera and multi-sensor fusion.
- Lead the development of efficient, production-grade deep learning models, defining objectives, selecting architectures, and guiding experimentation.
- Define and drive KPI frameworks to quantify perception performance and analyze datasets to improve accuracy and robustness.
- Lead data strategy for perception, specifying data requirements and prioritizing collection and annotation.
- Partner with safety, systems, and software teams to ensure perception solutions meet stringent product requirements.
- Provide technical leadership and mentorship to other engineers.
Requirements
- 15+ years of hands-on experience developing deep learning-based perception systems for complex real-world problems.
- Strong proficiency in frameworks such as PyTorch and a track record of taking models from prototype to production.
- Demonstrated technical leadership as a senior or principal-level individual contributor.
- Proven experience in data-driven development and collaboration with data/labeling teams.
- Strong programming skills in Python and/or C++.
- Excellent communication and collaboration skills.
- BS/MS/PhD in Computer Science, Electrical Engineering, or related fields (or equivalent experience).
Benefits
- Equity
- Benefits
- Base salary range: 272,000 USD - 431,250 USD