Drimva

Anduril

Technical Lead - Containerized Command & Control

$146K–$183K

Costa Mesa, California, United States · Full-time · Posted Oct 14, 2026

Experience
5+ years required; 8+ years desired. The posting also desires at least three full electrical product design cycles.
Education
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field; an advanced degree (MS/PhD) is desired.
Visa sponsorship
U.S. Person status required (U.S. citizen, permanent resident, refugee, or asylee).

About the job

Leads the electrical architecture and product lifecycle for deployable, AI-optimized tactical data centers and command-and-control systems, from operational concepts through production and field validation.

What you'll do

  • Own system architecture and conduct trade studies balancing performance, manufacturability, and scalability.
  • Translate operational concepts into electrical requirements, modules, interfaces, and guidance for PCB and harness teams.
  • Lead prototyping, field testing, customer collaboration, and delivery from concept through scaled production.

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; travel up to 15%.

Nice to have

  • Background in 3-phase or grid-scale power distribution, or EV/HV battery systems.
  • Experience with tactical military systems, ruggedized or deployable infrastructure, or containerized data centers.

Pay

$146,000 — $183,000 USD (base salary)

Tools

Lattice, MCUs, CPUs, FPGAs, PCBA, MIL-STD-810, MIL-STD-461, SCIF

AI focus

Architecture of tactical data centers optimized for AI inference and integrated with Lattice; coordinate infrastructure with Lattice and AI/ML teams.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)