Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles

What you'll do

• Develop and enhance technical design for 3D obstacle perception to support autonomous driving functionalities.
• Design and implement advanced 3D perception models using multi-camera inputs and sensor fusion techniques.
• Build efficient deep learning models, run experiments, and follow best practices for training and evaluation.
• Define and maintain KPI frameworks to quantify perception performance and improve accuracy and robustness.
• Contribute to data strategy by specifying data requirements and collaborating with data teams on labeling quality.
• Ensure perception solutions meet safety and deployment criteria when working with multidisciplinary teams.

What we're looking for

• Hands-on experience developing deep learning–based perception systems for complex real-world problems using PyTorch.
• Proven track record in data-driven development, including collaboration on data strategy and iterative model improvement.
• Strong programming skills in Python and C++, with experience building high-performance production-quality software.
• Experience designing and deploying camera-based deep learning perception solutions for autonomous driving at scale.
• Deep understanding of 3D computer vision fundamentals and transformer-based 3D or BEV perception pipelines.