The Role and Your Impact: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.
What You'll Own:- Perception architecture across detection, tracking, classification, and sensor fusion
- ML model development, training pipelines, and on-device deployment
- Multi-sensor fusion across EO/IR and other sensors as relevant to the targeting chain
- Real-time performance optimization on embedded targets
- Mentorship of perception engineers as the team grows
- Direct partnership with controls, robotics SWE, and hardware on what's actually achievable
What We're Looking For:- 5+ years building and shipping perception systems on real hardware
- Strong Python and C++ with deep ML engineering experience
- Computer vision, tracking, and detection in real-time, real-world conditions
- On-device deployment experience using TensorRT, ONNX, or equivalent
- Track record optimizing perception for embedded compute and latency budgets
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.
Nice to Haves:- Counter-UAS or aerial target tracking experience
- Radar or RF perception
- Classified program experience
- Sensor fusion in adversarial or denied environments
Education:- BS, MS, or PhD in CS, EE, Robotics, or equivalent. Track record matters more than degree.
How You Operate:- Extreme bias for action. You ship working perception on real hardware, not slideware
- You debug from first principles, not intuition alone
- Comfortable with ambiguity and fast iteration in a startup environment
- Clear communicator across software, hardware, and operator-facing surfaces
- Self directed. You identify what needs to happen next and do it without being told
How We Work: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.
Benefits:- Competitive salary + equity
- United Health Care medical, dental, and vision coverage
- Flexible 18 days PTO + 5 sick days
- Travel to field test events and range days
- Covered daily lunches and office snacks + drinks
- E-bike / scooter stipend ( Up to $500)
- Direct access to leadership and real ownership over your work
