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Embedded Perception Engineer (autonomy systems)
The Boring Company
Bastrop, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 1 weeks ago
LiDARIMUsC++Python
Free
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LiDARIMUsC++Python
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Key Responsibilities:
- Own and implement advanced perception pipelines for tunnel construction, integrating sensor fusion, computer vision, and real-time modeling to enable fully autonomous TBM operations.
- Build, deploy, and harden collision avoidance systems, from raw sensor data processing to spatial modeling, collision detection/warning algorithms, and reactive control strategies.
- Implement and maintain practical path planning and constraint-based navigation appropriate for confined tunnel environments.
- Drive end-to-end autonomy (hardware-to-operations), ensuring seamless integration with control systems for mission-critical reliability.
- Drive rapid iteration and deployment in a vertically integrated team, turning concepts into operational hardware-software solutions – developing in the lab and validating in the field.
Qualifications:
- Demonstrated Real-World Impact : Extensive experience deploying autonomous robotics in production / battle-tested environments (e.g., industrial automation, autonomous vehicles, or similar).
- Collision Avoidance Expertise : Ability to deeply articulate and implement full-stack solutions, including: Sensing pipelines (e.g., LiDAR, cameras, IMUs, onboard encoders). Algorithms for building dynamic spatial models. Detection and prediction of collisions/warnings. Robot reaction logic (e.g., graded responses for proximity alerts vs. emergency halts).
- Sensing pipelines (e.g., LiDAR, cameras, IMUs, onboard encoders).
- Algorithms for building dynamic spatial models.
- Detection and prediction of collisions/warnings.
- Robot reaction logic (e.g., graded responses for proximity alerts vs. emergency halts).
- Extensive Computer/Machine Vision Experience : Mastery in neural networks, object detection/tracking, semantic segmentation, and handling noisy, low-visibility data in real-time.
- Bachelor's or advanced degree in Robotics, Computer Science, Electrical Engineering, or related field, with 5+ years of relevant industry experience.
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