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Live In Underwater Robotics Jobs in Toronto, ON (NOW HIRING)

Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics ...

Understand, promote and live by Magna's philosophies and the Employee Charter. * Should be strong in trouble shooting repair and maintaining Fanuc, ABB and Motoman Robots * Analyze and improve Robot ...

Must have extensive robotic welding knowledge - particularly in the automotive sector ... Must live in the designated sales territory * No more than 2 jobs within the last 6 years What we ...

We live in a global and multicultural world and when you step inside Nutem that is exactly what you ... Knowledge of robotic automation, hardware operations and industrial automation software * Strong ...

... live operation. In addition, you will collaborate with others through the creation of a training ... Robot or other Mobile Automation (AGV) integration. PLC design (ladder logic and structured text ...

AMR Systems Engineer

Mississauga, ON · On-site

CA$73K - CA$92K/yr

... live operation. In addition, you will collaborate with others through the creation of a training ... Robot or other Mobile Automation (AGV) integration. PLC design (ladder logic and structured text ...

IOT Controls Technician

Woodbridge, ON · On-site

CA$70K - CA$80K/yr

s may display in multiple languagesbased on your language selection. What we offer: At Magna, you ... Troubleshoots production equipment and automation systems, including PLCs, CNC machines, robotics ...

Senior Acoustics Consultant

Guelph, ON · On-site

CA$125K - CA$165K/yr

  • PTO

... and underwater acoustics. Responsibilities: Leadership & Project Delivery * Lead and deliver ... Must be able to live and work in Canada, and preferably to the US for occasional project work as ...

... live and work. Don't just work anywhere - come build tomorrow together with us. Know someone at ... Then, watch for a unique link in your email to apply. Role Summary The Lead, AI & Automation ...

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Live In Underwater Robotics information

What is live in underwater robotics?

Live In Underwater Robotics professionals are experts who operate, maintain, and monitor robotic systems that function underwater, often for extended periods. These specialists typically live on-site, such as on research vessels or underwater habitats, to provide immediate support for remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs) used in research, exploration, or industrial tasks. Their work involves troubleshooting, repairs, and data collection in challenging underwater environments. This role is crucial in fields like marine biology, offshore energy, and underwater archaeology.

What are the key skills and qualifications needed to thrive as a live in underwater robotics technician?

To thrive as a Live-In Underwater Robotics Technician, you generally need expertise in robotics, mechanical or electrical engineering, and underwater systems, often supported by a relevant degree or technical certification. Familiarity with remotely operated vehicles (ROVs), sonar systems, underwater communication tools, and certifications like ROV pilot/technician credentials are typically required. Strong problem-solving skills, attention to detail, adaptability, and effective teamwork are essential soft skills for this role. These skills and qualities are crucial for ensuring the safe and efficient operation, maintenance, and repair of underwater robotics in challenging and isolated environments.

What are some common challenges faced by professionals working in live in underwater robotics roles?

Professionals in live-in underwater robotics roles often encounter unique challenges, including adapting to remote or confined living environments for extended periods and maintaining effective communication with team members both on and offshore. Additionally, they must manage complex underwater equipment in harsh conditions, troubleshoot unexpected technical issues, and prioritize safety at all times. Collaborating closely with multidisciplinary teams—including engineers, marine biologists, and operators—is essential to ensure smooth operations and the successful deployment of robotic systems.

What is the difference between Live In Underwater Robotics vs Underwater Robotics Technician?

AspectLive In Underwater RoboticsUnderwater Robotics Technician
CredentialsRelevant engineering or technical certifications, specialized trainingTechnical certifications, hands-on training in robotics maintenance
Work EnvironmentExtended periods underwater, often in remote or confined spacesOnshore or vessel-based, working with underwater equipment
Industry UsageUsed in research stations, offshore exploration, and underwater installationsMaintains and repairs underwater robots, supports operations

Live In Underwater Robotics involves working in submerged environments for extended periods, often requiring specialized certifications and training. In contrast, Underwater Robotics Technicians typically work onshore or on vessels, focusing on maintaining and repairing underwater robots. Both roles are essential in underwater exploration and industry, but they differ mainly in work environment and responsibilities.

What are popular job titles related to Live In Underwater Robotics jobs in Toronto, ON?

For Live In Underwater Robotics jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Live In Underwater Robotics jobs in Toronto, ON look for?

The top searched job categories for Live In Underwater Robotics jobs in Toronto, ON are:

Infographic showing various Live In Underwater Robotics job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Director of Product , Data Flywheel

Serve Robotics

Toronto, ON • Remote

$221K - $275K/yr

Full-time

Re-posted 16 days ago


Job description

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

Data is an integral part of Serve’s autonomy stack. As of EOY 2025, Serve has 2000 actively deployed robots making real world deliveries across numerous US cities. ‘Autonomy Data Flywheel’ is an internal Data product initiative that leverages on this large scale of real world robots and super-charges our End-End AI model development. It covers the entire data lifecycle starting with the data offloading infrastructure on edge, depots, and meeting the engineering needs of training, testing & validation.

Responsibilities

  • Build and drive roadmap for the Autonomy Data Flywheel

  • Draft requirements and ensure delivery for all consumers of the data including End-End AI, Perception, Safety and other teams.

  • Work with engineering teams to set and achieve targets for both quality and quantity KPIs

  • Define and maintain Data Diversity metrics for maximizing scenario coverage on Sidewalk ODD(Operational Design Domain)

  • Cross functional initiatives with Operations and IT teams to drive depot and cloud infrastructure work.

  • Support Data pipelines so that we are retaining the right data without impacting safety and day to day operations

Qualifications

  • Product/Engineering Experience for data infrastructure in AV/Automotive or Robotics/Edge AI industries

  • Experience building production level ML Ops pipelines

  • Fluent with training datasets and evals for AI models

  • Preferred: Experience with data infrastructure at Edge/Depot (E.g. NAS infra) and Cloud

  • Experience with ML Ops, targeted and active learning approaches

*Please note: The listed base salary range applies to candidates based in the San Francisco Bay Area. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely within the United States and Canada

  • USA - ALL: $200k - $245k USD

  • Canada - ALL: $175k - $215k CAD

Compensation Range: $221K - $275K