Job Description
We are on a mission to redefine urban mobility for the year 2026 and beyond. As a Lead Autonomous Systems Architect, you will be at the forefront of designing the neural networks and sensor fusion algorithms that power our next-generation fleet of autonomous vehicles.
Join our elite engineering team in the heart of San Francisco and help shape the future of human transport.
Responsibilities
- Design and implement scalable perception and decision-making architectures for autonomous fleets.
- Lead the integration of LiDAR, Radar, and Camera sensor suites into unified neural models.
- Conduct rigorous simulation testing to predict and mitigate edge-case scenarios.
- Collaborate with hardware engineers to optimize vehicle power consumption and compute performance.
- Define the technical roadmap for Level 4 autonomy deployment by 2026.
Qualifications
- Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
- 5+ years of experience in autonomous vehicle systems, robotics, or AI perception.
- Strong proficiency in C++, Python, and ROS (Robot Operating System).
- Experience with deep learning frameworks (PyTorch, TensorFlow) and large-scale training clusters.
- Proven track record of leading cross-functional engineering teams in high-stakes environments.