Embedded Perception Engineer (autonomy systems)

The Boring Company
Bastrop, TX, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Systems Engineering Artificial Neural Networks Computer Vision C++ (Programming Language) Computer Programming Python (Programming Language) Motion Planning Object Detection Sensor Fusion Software Systems Information Technology Lidar

Job description

At The Boring Company, we’re revolutionizing underground infrastructure with Prufrock, our next-generation Tunnel Boring Machine (TBM). We’re pushing the boundaries of autonomy to achieve Continuous Mining and Zero-People-in-Tunnel (ZPIT) operations-making tunneling faster, safer, and more efficient. As we scale the Prufrock fleet, we’re seeking exceptional talent to accelerate our autonomy vision., * 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.

Requirements

Embedded Systems, Systems Engineering, Boring, Tunnel Boring Machine, Vehicle Fleets, Continuous Mining Machine, Embedded Systems, Computer Vision, Shaft/Tunnel Construction, Collision Avoidance Systems, We’re looking for an Embedded Perception Engineer with proven, real-world expertise in building robust autonomous systems for complex environments. Ideal candidates will have shipped production-grade solutions in novel applications., * 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).
  • 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.
  • Strong programming skills in C++, Python, or similar, with a track record of optimizing for performance in embedded systems., * Willing to travel to job sites as required to commission & develop new designs, as well as troubleshoot and problem solve existing designs.
  • Ability to work long hours and weekends as necessary.

Benefits & conditions

We offer employer-paid medical, dental, and vision coverage, a 401(k) plan, paid holidays, paid vacation, and a competitive amount of equity for all permanent employees.

About the company

The Boring Company is an Equal Opportunity Employer; employment with The Boring Company is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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