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Regent

Software Engineer II, Sensor Fusion & Autonomy

North Kingstown, Rhode Island, USAfulltimemidAdded today

About this role

REGENT is seeking a Software Engineer II to design and implement perception and sensor fusion systems for autonomous seagliders—wing-in-ground-effect vessels operating at high speed over water. You'll architect multi-modal sensor integration (sonar, radar, EO/IR, IMUs), develop state estimation algorithms, and oversee production certification from prototype through deployment.

What you'll do

  • Design and integrate perception systems for environmental awareness, vehicle state estimation, and operator intent recognition
  • Evaluate, calibrate, and optimize multi-modal sensor suites including sonar, radar, EO/IR, and IMUs for robust situational awareness
  • Architect and deploy production-grade software build environments, transitioning from prototypes to certified avionics
  • Lead data collection campaigns on vehicles to drive iterative software improvements and validation
  • Collaborate with flight controls, GNC, systems, and hydrodynamics engineers as a state estimation subject matter expert
  • Conduct high-fidelity simulations and sea trials to verify and validate perception algorithms

What they're looking for

  • Python programming
  • C/C++ development
  • SLAM algorithms and frameworks
  • State estimation and sensor fusion
  • Multi-modal sensor integration and calibration
  • Computer vision and semantic labeling
  • Publish-subscribe messaging architectures (ROS or equivalent)
  • Autonomy system design and debugging
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Regent

Regent develops innovative Seaglider vehicles designed for sustainable coastal transit. The company is hiring embedded systems software engineers and chief engineers to support vehicle development, integration, and certification efforts.

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Likely interview questions

  • Describe a complex distributed software system you debugged on a vehicle—what was the challenge and how did you solve it?
  • Walk us through your experience integrating multi-modal sensors; how did you handle sensor timing, calibration, and fusion trade-offs?
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