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Sensing & Perception Engineer

Wardstone

Los Angeles, CAFull-timeSeen 1mo agoStill listed 2 days ago

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At a glance

Compensation
No compensation found
Location
Los Angeles, CA
Schedule
Full-time
Work Authorization
US work authorization required

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Sensing & Perception Engineer will own Wardstone’s complete sensing system, handling sensor selection, integration, low‑level image pipelines, and real‑time target tracking, while collaborating with founders and building test rigs to ship high‑performance perception hardware for intercept missions.

Skills & qualifications

RequiredNice to have

Skills

IR/EO Camera SystemsRadarImaging PhysicsCalibrationNoise ModelingOpenCVNumPySciPyC++PythonReal‑Time Detection AlgorithmsSignal ProcessingFilteringSensor FusionCoordinate TransformsThermal CamerasOptical EquipmentLWIR SensorsFLIR Boson/TauULISTeledyneGPU AccelerationCUDATensorRTEmbedded SystemsFPGA‑Based Vision PipelinesOptical ModelingLens DesignRadiometryAtmospheric AttenuationIR Scene ModelingSignature TrackingSynthetic Target GenerationHigh‑Dynamic‑Range Thermal EnvironmentsHigh‑G Mount DesignDefense/Aerospace Sensor StandardsMIL‑STD Environments

Qualifications

B.S. In EE, CS, Physics, Robotics or SimilarUS Citizenship Required

Full job description

We are looking for a Sensing and Perception Engineer to own Wardstone’s entire sensing system from sensor selection and integration to low-level image pipelines to real-time target tracking. You will work at the intersection of sensor hardware, computer vision algorithms, embedded systems, optics, and vehicle guidance. This role is central to Wardstone’s mission. Your system determine whether an interceptor knows where to go! You will work directly with founders, build test rigs, run high-speed experiments, and ship perception systems into hardware that performs real intercepts. What You’ll Do IR & EO Sensor Integration

  • Integrate sensor modules into avionics architecture.
  • Own sensor selection, FOV analysis, lensing, NUC, calibration workflows, and driver integration.
  • Develop high-reliability camera interfaces: SPI/I2C, MIPI, USB3, Ethernet, GMSL, or custom buses.

Real-Time Computer Vision & Tracking

  • Build perception pipelines capable of tracking high-speed objects with extremely low latency.
  • Implement target detection, centroid extraction, filtering, gating, and motion-compensation algorithms.
  • Develop robust tracking under noise, flare, thermal clutter, high dynamic range, and glint effects.

Sensor Fusion & Estimation

  • Fuse IR/EO data with IMU, GPS, and onboard state estimators.
  • Work with controls engineers to build perception-to-guidance interfaces for closed loop control.
  • Build EKF/UKF filters, temporal alignment, and prediction modules.

Verification & Validation

  • Design sensor test rigs: hot/cold targets, blackbody references, collimators, high-G mounts.
  • Conduct hardware-in-the-loop tests with simulated targets, scene generators, and flight dynamics models.
  • Collect, label, and analyze high-speed footage from ground+flight experiments, HAB flights, and tracking tests.
  • Stress-test perception under temperature, vibration, and shock conditions.

Required Qualifications

  • B.S. in EE, CS, Physics, Robotics, or similar.
  • Strong experience with IR/EO camera systems, Radar, imaging physics, calibration, and noise modeling.
  • Deep proficiency in computer vision (OpenCV, NumPy, SciPy, C++/Python).
  • Experience implementing real-time detection and tracking algorithms.
  • Understanding of signal processing, filtering, sensor fusion, and coordinate transforms.
  • Hands-on testing experience using thermal cameras, radar, calibration targets, or optical equipment.
  • US CITIZENSHIP REQUIRED

Nice to Haves

  • Experience working with LWIR sensors (FLIR Boson/Tau, ULIS, Teledyne, etc.) or Radar Units.
  • Background in missile seekers, UAV tracking, air-to-air systems, or autonomous robotics under high speed.
  • Experience with GPU acceleration (CUDA, TensorRT), embedded systems, or FPGA-based vision pipelines.
  • Familiarity with optical modeling, lens design, radiometry, and atmospheric attenuation.
  • Knowledge of IR scene modeling, signature tracking, or synthetic target generation.
  • Experience with high-dynamic-range thermal environments or high-G mount design.
  • Exposure to defense/aerospace sensor standards or MIL-STD environments.

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