Machine Learning Engineer

• 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, * 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.

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.

• 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

• 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

Aurelius Systems is a VC backed defense tech startup building autonomous, edge deployed directed energy systems for counter-UAS. We build laser weapons to shoot down drones.

We’re a small team of engineers, former US military operators, and subject matter experts scaling America’s directed energy dominance. The first cost effective, reliable and robust laser weapon system.

Our namesake isn’t an accident. Marcus Aurelius wrote about doing the work in front of you, every day, without excuses. Henry Ford didn’t wait for permission to reinvent manufacturing. That’s how we operate - small team, unreasonable output, no hiding behind the unachievable.

In addition to our San Francisco lab, we’ve opened a Detroit manufacturing hub and we field test weekly on our own 400-acre private range.