Drimva

Field AI

Robotics Autonomy Engineer, Software

$100K–$200K

Irvine, CA +1 · On-site · Full-time · Posted Sep 7, 2026

Location
Irvine, CA
Peoria, Illinois
Experience
2+ years of industry or applied research, as an alternative to the PhD requirement when holding an MS in a related field.
Education
PhD in Robotics, Computer Science, Electrical Engineering, or a related field, or MS in a related field.

About the job

Integrates, tests, deploys, and improves autonomous wheeled robotic systems for federal and commercial programs, supporting field operations and incorporating feedback to improve performance and reliability.

What you'll do

  • Drive system integration, debugging, and rapid capability development; provide software support.
  • Build utilities and tools for integration and automated testing of system software builds.
  • Provide technical expertise and analysis to advance robust software architectures.

What they ask for

  • PhD in Robotics, Computer Science, Electrical Engineering, or a related field; or an MS in a related field with 2+ years of industry or applied research.
  • Software engineering experience across the program lifecycle, particularly early-stage system design and development.
  • Experience or familiarity with robotics middleware such as ROS / ROS 2 or similar distributed robotics systems, distributed systems, and embedded systems (C/C++ on constrained hardware).
  • Ability to work across software, electronics, networking, and mechanical interfaces; manage complex programs; communicate effectively; and perform financial modeling, ROI analysis, and KPI tracking.

Nice to have

  • Experience deploying, operating, or maintaining mission-critical systems in real-world environments.
  • Experience with Jira, Wrike, Confluence, or other program management software; customer-facing work and willingness to travel or work on-site as needed.

Pay

USD 100,000–200,000 per-year-salary; base salary

Tools

ROS, ROS 2, C/C++, Jira, Wrike, Confluence

AI focus

Works on autonomous robotic systems and Field Foundational Models for perception, planning, localization, and manipulation, emphasizing explainability and safety in real-world use.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)