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Remote Autonomous Underwater Vehicle Jobs (NOW HIRING)

Anno.ai

Field Service Specialist

Duluth, MN · On-site +1

We exist to help our partners move faster, fail smarter, and ultimately deliver autonomous ... Experience with small unmanned aerial systems (UAS) (e.g., DJI, FPV), unmanned underwater vehicles ...

The Pennsylvania State University

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 ...

The Pennsylvania State University

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 ...

Auria

Senior Systems Engineer

Colorado Springs, CO · On-site +1

$125K - $150K/yr

This role is mostly remote; there will be in-person collaboration periodically with the team at ... vehicles, unmanned underwater vehicles, and unmanned rovers. The ideal candidate will have ...

Draper

Senior Software Autonomy Engineer

Cambridge, MA · On-site +1

$82K - $220K/yr

... autonomous vehicles. The Senior Autonomy Engineer will work on cutting-edge defense systems that is fielded by the US Government and commercial customers in aerial, ground, underwater, and space ...

Vay

Remote Driver (Truck)

Las Vegas, NV · Remote

$31/hr

Why this role is exciting Be part of the future of freight as a Remote Truck Driver , helping ... edge autonomous vehicle technology. This is a rare opportunity to be one of the first US-based ...

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All JobsRemote Autonomous Underwater Vehicle Jobs

Remote Autonomous Underwater Vehicle information

What is the best remote control for Alzheimer's patients?

A remote autonomous underwater vehicle (AUV) operator typically uses specialized remote control systems that feature simplified interfaces, large buttons, and voice command capabilities to accommodate cognitive impairments like Alzheimer's. These controls often include safety features such as automatic return and obstacle avoidance to ensure secure operation. Training in device operation and understanding of the vehicle's functions are essential for effective remote management.

What is the meaning of remote in one word?

In the context of a Remote Autonomous Underwater Vehicle job, 'remote' means operated or controlled from a distance, often via communication links, without being physically present at the deployment site. It emphasizes the use of remote control systems, sensors, and communication technology to perform underwater tasks. This allows operators to manage the vehicle from a safe or convenient location, often involving specialized software and communication protocols.

How to make 2000 a week working from home?

A Remote Autonomous Underwater Vehicle operator can earn $2000 a week by working on specialized projects such as underwater exploration, inspection, or research, often requiring technical skills in robotics, programming, and remote operation. Earning this income typically involves freelance contracts, consulting, or employment with companies in the maritime or research sectors, and may require certifications or experience in underwater vehicle systems. Consistent high-paying work depends on expertise, project availability, and the ability to secure multiple contracts or full-time positions remotely.

What are the key skills and qualifications needed to thrive as a Remote Autonomous Underwater Vehicle (AUV) 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 does it mean to be remote?

Being a remote Autonomous Underwater Vehicle operator or engineer means performing tasks and managing equipment from a location outside of the underwater environment, often from an office or control center. This involves using specialized software and communication tools to monitor, control, and analyze autonomous underwater vehicles remotely. It requires technical skills in robotics, programming, and remote operation systems.

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.

What are Remote Autonomous Underwater Vehicles (AUVs)?

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 (AUV) 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.
More about Remote Autonomous Underwater Vehicle jobs
What cities are hiring for Remote Autonomous Underwater Vehicle jobs? Cities with the most Remote Autonomous Underwater Vehicle job openings:
What are the most commonly searched types of Autonomous Underwater Vehicle jobs? The most popular types of Autonomous Underwater Vehicle jobs are:
What states have the most Remote Autonomous Underwater Vehicle jobs? States with the most job openings for Remote Autonomous Underwater Vehicle jobs include:
What job categories do people searching Remote Autonomous Underwater Vehicle jobs look for? The top searched job categories for Remote Autonomous Underwater Vehicle jobs are:
Remote Autonomous Underwater Vehicle jobs near you
Infographic showing various Remote Autonomous Underwater Vehicle job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 60% Full Time, 37% Part Time, and 2% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution.
Senior DevOps Lead - Cloud & Autonomous System

Senior DevOps Lead - Cloud & Autonomous System

Cyngn

Mountain View, CA • Remote

$133K - $170K/yr

Full-time

Posted 15 days ago

Key responsibilities

  • Lead and architect cloud and vehicle infrastructure initiatives across AWS and ROS/Linux environments.

  • Establish and maintain DevOps best practices, CI/CD pipelines, and infrastructure as code.

  • Drive observability, monitoring, and incident response strategies.

Job description

About Cyngn
Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles - specifically autonomous tuggers - to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: 
 
We are small and big.
With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly-traded equity.
 
We build today and deploy tomorrow.
Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact.
 
We aren’t robots. We just develop them.
We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation.
 
 
About this Role:
As a Senior DevOps Lead at Cyngn, you will play a vital role in architecting and managing infrastructure across cloud and autonomous vehicle systems. This position combines traditional cloud DevOps leadership with specialized expertise in robotics and autonomous systems infrastructure. You will bridge the gap between cloud operations and edge computing while leading a team of DevOps engineers to build and maintain scalable, reliable infrastructure for our autonomous vehicle platform.
What you will do in this role
  • Lead and architect cloud and vehicle infrastructure initiatives across AWS and ROS/Linux environments 
  • Design and implement scalable solutions for both cloud services and autonomous vehicle systems 
  • Establish and maintain DevOps best practices, CI/CD pipelines, and infrastructure as code 
  • Drive observability, monitoring, and incident response strategies 
  • Optimize performance and cost efficiency of cloud and edge computing resources 
  • Mentor team members and foster a developer-friendly environment 
  • Manage on-call rotations and incident response processes 
  • Architect solutions for processing and storing large-scale vehicle telemetry data 
  • Lead security initiatives and compliance efforts across infrastructure 
  • Design and implement solutions for both cloud services and autonomous vehicle systems 
  • Optimize system performance for real-time processing of high-bandwidth sensor data 
  • Develop and maintain documentation for system architecture and integration procedures
Who you are
  • 10+ years of relevant DevOps/Infrastructure experience
  • Proven track record as a technical lead in platform or infrastructure teams
  • Advanced expertise in AWS services, infrastructure as code (Terraform), and Kubernetes
  • Strong experience with service mesh (Istio) and Helm/Kustomize
  • Deep understanding of ROS/ROS2 and Linux kernel configurations
  • Experience with GPU configurations and ML infrastructure
  • Expertise in ARM and NVIDIA CUDA platform configurations
  • Strong programming skills in Python and shell scripting
  • Experience with infrastructure automation (Ansible)
  • Expertise in CI/CD tools (Jenkins, GitHub Actions)
  • Strong system architecture and design skills
  • Excellence in technical documentation
  • Outstanding problem-solving abilities
  • Strong leadership and mentoring capabilities
Nice to haves
  • Experience with autonomous vehicle systems
  • Track record of optimizing GPU-based ML infrastructure
  • Experience with large-scale IoT deployments
  • Contributions to open-source projects
  • Experience with real-time systems and low-latency requirements
  • Expertise in security implementations including SSO, IdP, and AWS Cognito
  • Experience with JFrog artifactory and container registry management
  • Proficiency in AWS IoT Greengrass
  • Experience with container resource management on edge devices
  • Understanding of CPU affinity and priority scheduling
  • Track record of implementing cost optimization strategies
  • Experience with scaling systems both horizontally and vertically
Benefits & Perks
  • Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
  • Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
  • Company 401(k)
  • Commuter Benefits
  • Flexible vacation policy
  • Sabbatical leave opportunity after five years with the company
  • Paid Parental Leave
  • Daily lunches for in-office employees
  • Monthly meal and tech allowances for remote employees
 
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.