Autonomous Tunnel Perception Engineer (Embedded)

Boring Company; Bastrop (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Employer-paid medical, dental, and vis

401(k) plan

Paid holidays and vacation

Job summary

The Boring Company in Bastrop, Texas is seeking an Embedded Perception Engineer to advance autonomous TBM systems. You will own perception pipelines, sensor fusion, and real-time modeling for tunnel construction, and you will build robust collision avoidance and planning capabilities for constrained environments.

Ideal candidates have real-world impact deploying autonomous robotics, strong C++/Python skills, and experience with LiDAR, cameras, and inertial sensing in embedded contexts.

Qualifications

• 5+ years of relevant industry experience in robotics.
• Experience deploying autonomous robotics in production environments.
• Strong programming in C++/Python in embedded systems.

Responsibilities

• Own and implement perception pipelines for tunnel construction, sensor fusion, CV, and real-time modeling for autonomous TBM operations.
• Build, deploy, and harden collision avoidance systems from raw sensor data to spatial modeling and warnings.
• Implement and maintain path planning for confined tunnel environments with constraint-based navigation.
• Drive end-to-end autonomy from hardware to operations, ensuring reliability in mission-critical scenarios.
• Drive rapid iteration in a vertically integrated team, turning concepts into field-ready hardware-software solutions.

Skills

Real-world impact

Collision avoidance

Computer vision

C++

Python

Education

Bachelor's or higher in Robotics/CS/EE

Tools

LiDAR

Cameras

IMUs

Encoders

Job description

The Boring Company in Bastrop, Texas is seeking an Embedded Perception Engineer to advance autonomous TBM systems. You will own perception pipelines, sensor fusion, and real-time modeling for tunnel construction, and you will build robust collision avoidance and planning capabilities for constrained environments.

Ideal candidates have real-world impact deploying autonomous robotics, strong C++/Python skills, and experience with LiDAR, cameras, and inertial sensing in embedded contexts.