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Remote Autonomous Underwater Vehicle Jobs (NOW HIRING)

The Pennsylvania State University

$16.50 - $21.50/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... underwater vehicles. ARL's purpose is to research and develop innovative solutions to challenging ...

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Remote Autonomous Underwater Vehicle information

What is a remote autonomous underwater vehicle?

Remote Autonomous Underwater Vehicles (AUVs) are unmanned, self-guided underwater robots used to explore, monitor, and collect data from aquatic environments. These vehicles operate without direct human control, navigating pre-programmed routes or responding to sensor inputs. They are commonly used in oceanography, marine research, underwater inspections, and environmental monitoring. AUVs can reach depths and areas that are challenging or dangerous for human divers, making them valuable tools for scientific and industrial applications.

What are the typical challenges faced when operating a remote autonomous underwater vehicle and how are they managed in a remote work setting?

Operating a Remote AUV often involves overcoming challenges such as limited real-time data transmission, navigating unpredictable underwater environments, and troubleshooting equipment malfunctions from a distance. Remote operators frequently collaborate closely with on-site teams through video calls and digital platforms to coordinate missions, interpret sensor data, and resolve technical issues. Successful remote AUV operation relies on strong communication skills, proactive planning, and familiarity with remote diagnostics tools. Regular team briefings and standardized reporting procedures help ensure everyone stays aligned and mission objectives are met.

What are the key skills and qualifications needed to thrive as a remote autonomous underwater vehicle operator, and why are they important?

To thrive as a Remote Autonomous Underwater Vehicle Operator, you need a background in marine engineering, robotics, or a related technical field, often supported by relevant degrees or certifications. Proficiency with AUV control software, navigation systems, sonar equipment, and data analysis tools is typically required. Strong problem-solving skills, attention to detail, and effective teamwork are crucial soft skills for handling underwater missions and unexpected challenges. These skills ensure safe, efficient, and accurate operation of underwater vehicles in complex environments.

What is the difference between Remote Autonomous Underwater Vehicle vs Remote Underwater Robotics Technician?

AspectRemote Autonomous Underwater VehicleRemote Underwater Robotics Technician
CredentialsEngineering degrees, certifications in robotics or marine technologyTechnical certifications, hands-on training in robotics maintenance
Work EnvironmentDesign, programming, and deployment of autonomous systems in marine environmentsMaintenance, troubleshooting, and repair of underwater robotics equipment
Industry UsageResearch, exploration, military, and commercial applications involving autonomous systemsOperational support, field repairs, and system calibration in underwater settings

Remote Autonomous Underwater Vehicles focus on designing and deploying autonomous systems for underwater tasks, while Remote Underwater Robotics Technicians handle the maintenance and repair of underwater robotics equipment. Both roles are essential in marine technology industries but differ in responsibilities and skill sets.

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Remote Autonomous Underwater Vehicle jobs near you
Infographic showing various Remote Autonomous Underwater Vehicle job openings in the United States as of August 2026, with employment types broken down into 59% Full Time, 40% Part Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Software Engineer, Autonomous Vehicles (Motion Planning)

Helm.ai

Remote

Full-time

Medical, Retirement

Posted 28 days ago

Job description

We help make autonomous technologies more efficient, safer, and accessible.
Helm.ai builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale.
We are looking for versatile engineers to shape core components of the next generation of the Helm.ai autonomous stack. No prior experience in autonomous vehicles is required-we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai's AI teams, and work with customers to advance highway and urban autonomous driving capabilities.
You will:
  • Architect core behavior planning: Own the logic and decision frameworks that guide the vehicle through complex maneuvers (like unprotected turns, dynamic merges, and yielding).
  • Optimize trajectories: Develop robust trajectory generation systems that perfectly balance safety, passenger comfort, and vehicle progress.
  • Ensure verifiable safety: Translate complex traffic rules and operational design domain (ODD) constraints into interpretable, highly safe planning behaviors.
  • Solve the long-tail: Tackle exciting, real-world edge cases, from unpredictable pedestrians and occlusions to complex construction zones.
  • Drive cross-functional integration: Collaborate closely to seamlessly connect your planner with perception, prediction, localization, and control modules.
  • Test and validate: Prove out your solutions through rigorous scenario-based simulations, closed-course trials, and live on-road testing.
  • Optimize for real-time: Deliver robust, highly deterministic performance tailored for embedded automotive hardware.

You have:
  • MS/PhD in robotics, Computer science, Electrical Engineering, or equivalent industry experience.
  • Solid C++ for robust, real-time systems, paired with Python for tooling and data analysis.
  • Deep familiarity with both planning algorithms (search, sampling and optimization-based) and complex decision architectures (like FSMs and behavior trees).
  • A solid grasp of vehicle kinematics and dynamics to ensure safe, smooth, and realistic motion profiles.
  • Hands-on experience with ROS/ROS2 or comparable autonomous middleware.

The following are not required but a plus:
  • Experience shipping a planner on public roads and analyzing real-world disengagement data.
  • Hands-on experience with tools like CARLA or custom in-house scenario frameworks.
    We offer:
  • Competitive health insurance options
  • 401K plan management
  • Remote-friendly and flexible team culture
  • Free lunch and fully-stocked kitchen in our South Bay office
  • Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
  • The opportunity to work on one of the most interesting, impactful problems of the decade

Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.

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