Furientis
Navigation Engineer, GNC
Los Angeles, CA · Contract
Sponsorship not specifiedDetected 69 days ago
PythonC++AlgorithmsRESTNumPyDetection EngineeringSupply ChainLogisticsMIL-STDRoboticsMechanical DesignSensors
About the role
- The GNC team writes the guidance algorithms, navigation solution, and autopilot that take a launched interceptor from rail to intercept under realistic noise, disturbances, and adversary behavior.
- On a modern missile, GNC decides whether the rest of the system's investment converts into a hit.
- We treat the navigation solution as the load-bearing wall every guidance and control decision rests on.
Responsibilities
- Design, tune, and harden an error-state EKF for tight INS/GNSS coupling, with graceful degradation under GNSS denial, jamming, and spoofing.
- Own the navigation error budget across sensor noise, calibration residuals, lever arms, time sync, vibration rectification, and high-g transients. Flow requirements down to suppliers and up to miss-distance.
- Develop pre-launch alignment and in-flight alignment procedures (gyrocompass, transfer alignment, motion-based observability injection) suitable for tactical timelines.
- Build the full nav simulation stack: truth models, sensor error models, Earth and gravity models, Monte Carlo harness, and HWIL bench with real IMUs and GNSS receivers under motion.
- Implement the navigation filter in flight-grade C/C++, with deterministic timing, fixed-step execution, and numerical conditioning suitable for a flight processor.
- Flight-grade C/C++ (or Rust) for embedded targets. Comfortable with fixed-step real-time execution, numerical conditioning of covariance matrices, and the difference between a prototype and a flight build.
- Hobbyist drone or rocketry build and flight experience that translates to sensor packaging, vibration, and field-handling intuition.
- Own the navigation error budget across sensor noise, calibration residuals, lever arms, time sync, vibration rectification, and high-g transients.
Requirements
- A clearance is not required for this position.
- Must be a U.S. Person.
Nice to have
- B.S. in Aerospace, Electrical, Mechanical Engineering, Applied Math, Physics, or related.
- M.S. or Ph.D. preferred.
- You can defend your state vector, process noise, measurement model, and observability at the whiteboard.
Skills
- B.S. in Aerospace, Electrical, Mechanical Engineering, Applied Math, Physics, or related. M.S. or Ph.D. preferred.
- 7+ years of navigation or estimation work, with responsibility for one production navigation filter from architecture through flight test.
Compensation
- America is critically deficient in production of defensive munitions- we currently produce shipborne interceptors in the few hundreds per year while our adversaries are producing offensive threats in the tens of thousands per year.
- Furientis was started to help solve this problem- introducing a new class of cost-effective, high production rate, interceptor missiles.
- We're seeking motivated individuals who internalize this problem and are eager to apply their past experience in similar industries (aerospace, defense, automotive/racing, robotics) and out of the box thinking to solve this problem for the US and its allies.
Benefits
- Integrate aiding sensors as needed (GNSS, magnetometer, baro, vision, terrain-referenced, star tracker) and write the observability and fault-detection logic that decides when to trust them.
- vision-aided, terrain-referenced, celestial, signals-of-opportunity, or magnetic-anomaly.
- Bonus Points For
Visa & Work Authorization
- Must be a U.S. Person
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This listing is sourced directly from Furientis's careers page and normalized into a canonical job model.