Sr. ML Engineer, Perception

Aurelius Systems, Inc; San Francisco (CA); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Competitive salary + equity

Medical, dental, and vision coverage

Flexible PTO + sick days

Covered daily lunches

E-bike/scooter stipend

Job summary

Aurelius Systems, Inc in San Francisco is seeking a Senior Machine Learning Engineer to lead perception architecture for defense applications. The ideal candidate will have over 5 years of experience in real-world perception systems, strong skills in Python and C++, and a proven track record in real-time optimization. Join a team that values rapid development and impactful contributions in the defense technology sector, where your work will be field-tested and put to use.

Qualifications

• 5+ years building and shipping perception systems on real hardware.
• Experience in optimization for embedded compute and latency budgets.
• Strong background in real-time, real-world conditions.

Responsibilities

• Lead the perception stack for Archimedes focusing on detection and tracking.
• Develop ML models and manage training pipelines.
• Optimize real-time performance on embedded targets.

Skills

Python

C++

Machine Learning Engineering

Computer Vision

Real-time Detection

Education

BS, MS, or PhD in CS, EE, Robotics, or equivalent

Tools

TensorRT

ONNX

Job description

Who We Are:

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.

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

Why Join Aurelius Systems?

• 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.

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

Export Control Notice:

This role requires access to export-controlled information or items that require "U.S. Person" status. As defined by U.S. law, individuals who are any one of the following are considered to be a "U.S. Person": (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).