Aureliussystems
Sr. Systems Performance Engineer
San Francisco · Senior
Sponsorship not specifiedDetected 141 days ago
C++LinuxRESTMachine LearningComputer VisionRoboticsElectrical EngineeringResearchLeadershipMentoring
About the role
- You'll own the architecture and performance of our full software stack as the Sr.
- Systems Performance Software Engineer.
Responsibilities
- 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.
- 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.
- Develop and optimize CUDA kernels for high-throughput, low-latency execution
- We need an engineer who thinks in terms of microseconds, memory bandwidth, cache behavior, and determinism, and who can make architectural calls that the rest of the team builds against.
- This is a senior IC role with subteam lead scope.
- You won't own simulators or model orchestration.
- You will own whether the platform meets its latency budget.
- DMA and zero-copy pipeline design
Requirements
- 4+ years in real-time systems or robotics software engineering with real hardware
- Not a fit if: Your experience is purely web/cloud software, ML research that never deployed to hardware, or you primarily work in managed languages.
- Prior experience leading a small technical subteam or owning architecture for a production system
Nice to have
- BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field.
- PhD a plus but not required.
Compensation
- Competitive salary + equity
Benefits
- Competitive salary + equity
- United Health Care medical, dental, and vision coverage
- Flexible 18 days PTO + 5 sick days
- E-bike / scooter stipend (up to $500)
- sensing, computer vision, ML inference, controls, fire control, C2, power, mechanical actuation.
Company info
- 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.
- 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.
- The Role & Your Impact:
- Our system is a stack of complex subsystems working in concert: sensing, computer vision, ML inference, controls, fire control, C2, power, mechanical actuation.
- Every microsecond of latency is a drone that gets closer.
- Every inefficient kernel is a target that gets away.
- Your job is to make sure the whole stack, not any one piece, runs as fast and as deterministically as physics allows.
- The critical gap we're hiring for is real-time systems performance architecture at the hardware boundary.
- You need to understand how software execution translates into physical system behavior; how latency accumulates across CPU, GPU, memory, and I/O; how bandwidth limits affect sensor pipelines; and how architectural decisions upstream constrain what's achievable downstream.
- You'll set direction on kernel-level optimization, driver work, and latency performance across fire control and C2.
- What You'll Own:
- Architecture, performance and latency budget of the full platform, from sensing through actuation
- Kernel-level and driver-level coding across the stack
- Profile and eliminate latency across CPU, GPU, memory, and I/O boundaries
Visa & Work Authorization
- Export Control Notice:
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