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Robotics In Usa Jobs in Toronto, ON (NOW HIRING)

Welding Application Technologist

Mississauga, ON ยท On-site

CA$60K - CA$80K/yr

Fronius is a Technology Leader specializing in high quality manual and robotic welding solutions ... Must be willing and authorized to travel throughout Canada, USA and Europe. * Must have a valid ...

New

Content Strategist

Toronto, ON ยท Remote

CA$45 - CA$55/hr

USA/Canada(Remote) About the Job Search has changed. AI is now one of the first places families go ... Bonus points if it's in consumer tech, apps, subscriptions, parenting, caregiving, or family ...

Robotics In Usa information

What is a robotics job in the USA?

Robotics jobs in the USA involve designing, building, programming, and maintaining robots and robotic systems used in industries such as manufacturing, healthcare, aerospace, and logistics. Professionals in this field may work as robotics engineers, technicians, software developers, or researchers, focusing on automation, artificial intelligence, and machine learning. These roles require strong skills in engineering, computer science, and problem-solving, and often involve collaboration with interdisciplinary teams to create innovative robotic solutions.

What skills and qualifications are needed to thrive as a robotics engineer in the USA?

To thrive as a Robotics Engineer, you need a strong background in mechanical engineering, electrical engineering, and computer science, typically with a bachelor's or master's degree in a related field. Familiarity with programming languages (such as Python, C++, or ROS), CAD software, and robotics-specific tools or certifications is commonly required. Problem-solving ability, teamwork, and effective communication are critical soft skills in this role. These competencies are vital to design, develop, and implement innovative robotic solutions that meet industry demands.

What are common challenges faced by robotics engineers in the USA, and how can they be addressed?

Robotics engineers in the USA often encounter challenges such as integrating complex hardware and software systems, keeping up with rapid technological advancements, and working within multidisciplinary teams. Addressing these challenges typically involves continuous learning, effective cross-team communication, and staying current with industry tools and standards. Many organizations support their engineers through mentorship programs, training sessions, and collaboration with experts from fields like AI, mechanical engineering, and electronics, helping team members overcome technical obstacles and grow professionally.

What is the difference between Robotics In Usa vs Automation Technician in the same industry?

AspectRobotics In UsaAutomation Technician
Required CredentialsAssociate's/Bachelor's in Robotics, Electrical, or Mechanical EngineeringAssociate's in Electrical, Mechanical, or Industrial Technology
Work EnvironmentManufacturing plants, research labs, automation facilitiesFactories, production lines, maintenance settings
Industry UsageDesign, programming, and integration of robotic systemsInstallation, troubleshooting, and maintenance of automated equipment

Robotics In Usa professionals focus on designing and programming robotic systems, often requiring higher-level engineering credentials. Automation Technicians primarily handle installation and maintenance of automation equipment, typically with technical diplomas. Both roles are vital in manufacturing but differ in scope and responsibilities.

Infographic showing various Robotics In Usa job openings in Toronto, ON as of September 2026, with employment types broken down into 73% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Director of Product , Data Flywheel

Toronto, ON โ€ข Remote

Serve Robotics
Internet and ITย โ€ขย 51 - 200 employees

$221K - $275K/yr

Full-time

Re-posted 10 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