We need a Senior Machine Learning Engineer to lead the perception stack for Archimedes — detection, tracking, classification, and sensor fusion across the targeting chain. You're the seasoned engineer who's shipped perception in something that had to work outside a benchmark. You'll partner directly with our CTO and the robotics software team, and own perception as a domain.
Where you probably come from: Perception roles at defense companies, autonomy, perception-heavy robotics, or aerospace programs that put perception in front of real targets.
We want to talk if: You've shipped a perception system that ran on real hardware against real targets. You know the gap between paper SOTA and what survives field conditions.
Not a fit if: Your background is research only without deployment, you're a new grad (we'll have a junior role later), or your CV experience is offline batch processing only.
BS, MS, or PhD in CS, EE, Robotics, or equivalent. Track record matters more than degree.
Build more in 1 month than most engineers build in 1 year. We field test weekly. Your work goes downrange, not into a filing cabinet.
Career velocity is real. At ~10 engineers, there are no layers between you and impact.
Work on a problem that actually matters. Small cheap drones are changing warfare. Our laser systems are the asymmetric answer — infinite magazine, near zero cost per shot, scalable to every base, border, facility, and truck.
Join the densest defense startup ecosystem in the country. California is where the next generation of defense companies are being built.
Core hours are Monday through Friday, 9 to 6. When we're sprinting toward a demo or field test, the team ramps up — nights, weekends, whatever it takes to ship. When the sprint lands, we ramp down. We don't manufacture intensity for show.
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