Software Engineer II, Sensor Fusion & Autonomy

At REGENT, we’re on a mission to revolutionize regional transportation between coastal cities. We're not just building vehicles, we're creating a new category of transportation: the Seaglider. These groundbreaking wing-in-ground-effect craft travel just above the water’s surface, combining the speed of an airplane with the low operating costs of a boat. Capable of 180 miles at 180 mph on today's battery tech (and up to 400 miles with next-gen batteries), Seagliders will unlock fast, affordable, and sustainable coastal transit for passengers and cargo - connecting cities, islands, and communities like never before.

Backed by leading investors and powered by a team of passionate, forward-thinking engineers, builders, and operators, we’re now scaling from a breakthrough prototype to full production - and building the team to make it happen.

1. →

   Design, implement, and integrate a perception system to allow our seagliders to perceive the external environment, internal state of the vehicle, and operator intent.

2. →

   Spearhead rapid prototyping and innovation of perception solutions, manage trade studies, sensor evaluations, and perform hands-on integration and testing of complex perception systems into operational vehicles.

3. →

   Integrate, calibrate, and optimize multi-modal sensor suites (including sonar, radar, electro-optical/infrared (EO/IR), inertial measurement units (IMUs), and environmental sensors) to ensure robust situational awareness and reliable internal state estimation

4. →

   Architect, deploy, and continuously enhance robust software build environments, transitioning vehicle software from initial prototypes to reliable, certified production avionics.

5. →

   Lead data collection efforts on and off vehicle to drive iterative improvement in software design, accuracy, and overall system performance.

6. →

   Utilize high-fidelity simulations and live sea trials to verify and validate perception software.

7. →

   Act as subject matter expert for state estimation across various engineering disciplines, including but not limited to flight controls engineers, GNC engineers, systems engineers, hydrodynamics engineers, and perception engineers.

8. →

   Take ownership of critical aspects of subscale and full-scale prototype development and testing, as well as oversee key phases of production craft development, validation, testing, and certification, ensuring adherence to industry standards and best practices.

• Master of Science Degree in Computer Science, Mechanical Engineering, or a directly related field of study. Employer also requires the following:

  1. 1 year of experience in Aviation, Aerospace, Robotics, Automotive, or an applicable software field.

  2. 1 year of experience in Python coding skills.

  3. 1 year of experience in C or C++.

  4. 1 year of experience in debugging integrated complex distributed software systems deployed on vehicles, utilizing strong problem solving and analytical skills.

  5. 1 year of experience with sensor selection, evaluation, and integration.

  6. 1 year of experience in SLAM algorithms, systems, and frameworks.

  7. 1 year of experience in state estimation.

  8. 1 year of experience in designing, implementing, integrating, and debugging publish-subscribe messaging architectures across processes and systems.

  9. 1 year of experience in autonomy system design, including actuation, propulsion, path planning, decision making, and user interfaces.

  10. 1 year experience in integration and optimization of multi-modal sensors for robust situational awareness using advanced sensor fusion and perception algorithms.

  11. 1 year of experience in modern computer vision, mapping, and semantic labelling.

REGENT is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, or any other characteristic protected by law.