Anduril
Hardware Systems Integration Engineer
$146K–$183K
Costa Mesa, California, United States · Full-time · Posted Oct 14, 2026
- Experience
- 5+ years required; 8+ years preferred. At least three full electrical product design cycles preferred.
- Education
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related technical field; advanced degree preferred.
- Visa sponsorship
- U.S. Person status required (U.S. citizen, permanent resident, refugee, or asylee); ability to obtain and maintain a U.S. security clearance (U.S. citizenship may be required).
About the job
Defines electrical architecture and leads development of deployable AI computing and command-and-control systems from concept through production and field validation.
What you'll do
- Own system architecture and translate operational concepts into electrical requirements, modules, interfaces, and design guidance.
- Lead architectural tradeoffs, prototyping, field testing, and production deployment across engineering and program teams.
- Coordinate with Lattice and AI/ML teams and defense customers to align infrastructure with mission needs.
What they ask for
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field.
- 5+ years of engineering experience designing and deploying electrical products.
- Experience with full-cycle ECU/LRU electronics design, harnessing design, and connector selection.
- U.S. Person status; ability to obtain and maintain a U.S. security clearance; ability to travel up to 15%.
Nice to have
- Background in power distribution or EV/HV battery systems; at least three full electrical product design cycles.
- Experience with ruggedized or deployable systems, military environmental standards, modular data centers, or SCIF design.
Pay
$146,000 — $183,000 USD (base salary)
Tools
MCUs, CPUs, FPGAs, ECU/LRU, PCBA, MIL-STD-810, MIL-STD-461, Lattice
AI focus
Develops air-transportable AI inference infrastructure at the tactical edge and coordinates with Lattice and AI/ML teams so the physical systems meet software requirements.
Model-written summary · the original posting is authoritative