REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Autonomy Systems Engineer Lead, Embedded & Vision
XX
Embedded Perception Engineer (autonomy systems)Latent AI • Bastrop, Texas, United States
Jetzt Bewerben
XX

Embedded Perception Engineer (autonomy systems)

Latent AI
  • US
    Bastrop, Texas, United States
  • US
    Bastrop, Texas, United States
Jetzt Bewerben

Über

Robotics & Perception Engineer
Bastrop, TX – ENGINEERING, Software Engineering – In office – Full-time
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.
We’re looking for Robotics and Perception Engineers with proven, real‑world expertise in building robust autonomous systems for complex environments. Ideal candidates will have shipped production‑grade solutions in novel applications.
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).
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.
Additional Requirements
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.
Reporting Location: Bastrop, Texas – Headquarters
Benefits 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.
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.
#J-18808-Ljbffr
  • Bastrop, Texas, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.