Autonomy Architect: Ship Real-World Vehicle AI

AdAstra Talent Advisors

Los Angeles (CA)

On-site

USD 170,000 - 260,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Dental coverage
Vision coverage
Stock options
401(k)
Relocation support
Lunch/dinner provided
Dog-friendly office

Job summary

AdAstra Talent Advisors is helping a defense-tech startup in the Los Angeles area locate the first dedicated autonomy engineer to architect and own the autonomy and perception stack. The role is hands-on and requires delivering a working autonomous system within 90 days, leveraging OpenCV, YOLO and other open-source tools as appropriate.

You will work with senior leaders from defense and AI domains, shape the system architecture, and guide a growing autonomy team as the program moves toward

Qualifications

  • Hands-on autonomy experience building systems from scratch
  • Production-quality code in a systems language
  • Comfort designing and writing architecture glue
  • Willingness to support field tests and trials

Responsibilities

  • Own requirements, architecture and hard tradeoffs for autonomy stack
  • Develop production autonomy software within hardware constraints
  • Model training and deployment for perception systems
  • Create simulation, replay, SIL and HIL environments for testing
  • Select sensors and design sensing architecture with avionics/embedded software
  • Lead field tests, sea trials and post-test root-cause analysis
  • Mentor new autonomy engineers joining the team

Skills

C language
C++ language
Rust language
Python scripting

Tools

YOLO
OpenCV

Job description

AdAstra Talent Advisors is helping a defense-tech startup in the Los Angeles area locate the first dedicated autonomy engineer to architect and own the autonomy and perception stack. The role is hands-on and requires delivering a working autonomous system within 90 days, leveraging OpenCV, YOLO and other open-source tools as appropriate.

You will work with senior leaders from defense and AI domains, shape the system architecture, and guide a growing autonomy team as the program moves toward

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