REGENT

Radar Signal Processing Intern (Summer)

REGENT
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20 hours ago
North Kingstown, RI, USAIntern

Responsibilities

  • Study radar’s role within REGENT’s broader sensor suite and the perception team’s objectives.
  • Design or identify signal-processing algorithms for range, Doppler, and angle estimation.
  • Prototype and analyze signal-processing approaches using MATLAB or Python.
  • Implement and test algorithms against simulated or real radar data.
  • Work with a dedicated perception-team mentor through regular project check-ins.
  • Communicate progress and results clearly so the team can build on the work.

Requirements

  • Solid fundamentals in digital signal processing, including sampling, filtering, spectral analysis, and FFTs.
  • Familiarity with radar concepts such as range, Doppler, and angle estimation, or related sensing or communications signal processing through coursework or projects.
  • Comfort using MATLAB or Python to prototype and analyze signals.
  • Ability to reason through ambiguous technical problems and explain technical thinking clearly.
  • Collaborative, adaptable, self-motivated, and eager to learn in an exploratory environment.

Benefits

  • Competitive compensation.
  • Housing stipend available for those temporarily moving to join the team.
  • Daily free catered lunches.
  • Learning and professional development opportunities.
  • Meaningful projects with mentorship and guidance from experienced team members.

Tech Stack

MATLABPython

Categories

REGENT

About REGENT

201-500 employees

REGENT designs and manufactures all-electric seaglider vessels—wing-in-ground-effect craft that travel just above the water—for coastal passenger and cargo transport. Founded in 2020 and headquartered in North Kingstown, Rhode Island, the privately held company’s initial 12-passenger Viceroy model targets routes up to about 180 miles at roughly 180 mph using existing dock infrastructure. It sells vehicles and supporting systems to ferry operators, logistics providers, and other coastal transportation customers.

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