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Remote Robotics Engineer Jobs in Toronto, ON (NOW HIRING)

Software Engineer Job Type: Contract Location: Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software ...

Senior AI Engineer - Remote

Toronto, ON ยท On-site +1

CA$147K - CA$245K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Toronto, Ontario (CA-ON), Canada (CA). We are seeking an Senior AI Engineer to join our team. The ideal candidate will have ...

Senior AI Engineer - Remote

Toronto, ON ยท On-site +1

CA$147K - CA$245K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Toronto, Ontario (CA-ON), Canada (CA). We are seeking an Senior AI Engineer to join our team. The ideal candidate will have ...

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... You have used Selenium, Robot Framework or similar frameworks * You have done electronic design and ...

... and remote IoT devices using C/C++, C#, and .NET. You will contribute to the full software ... Exposure to industrial automation, robotics, machine vision, data acquisition, and Industry 4.0 ...

Manage and collaborate with team members in remote settings * Monitor and maintain adherence and ... Experience in a variety of test automation frameworks/tools e.g., (Robot Framework and others ) and ...

As a remote-first organization, we are building a modern, high-performing team focused on ... This is a hands-on engineering role where you'll contribute across the full software development ...

Software Engineer

Toronto, ON ยท Remote

CA$8/hr

As a remote-first organization, we are building a modern, high-performing team focused on ... This is a hands-on engineering role where you'll contribute across the full software development ...

Senior Engineer

Toronto, ON ยท On-site +1

Lead a team of power system engineers performing modeling and NERC technical studies for clients ... This position will be remote US or Canada Travel : Occasional travel may be needed (10% or less ...

Senior Backend Java Engineer

Toronto, ON ยท Remote

CA$62K - CA$147K/yr

From autonomous cars to life-saving robots, our digital and software technology experts think ... Location This is Remote in Canada About the role you're considering We are looking for senior ...

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Remote Robotics Engineer information

What is a Remote Robotics Engineer job?

A Remote Robotics Engineer designs, develops, and tests robotic systems while working from a remote location. They use simulation tools, software, and cloud-based platforms to build and program robots for various industries, such as manufacturing, healthcare, and automation. Communication and collaboration with teams are typically done through video calls, online project management tools, and remote coding environments. This role requires expertise in robotics software, hardware integration, and control systems, alongside strong problem-solving skills.

What are the key skills and qualifications needed to thrive in the Remote Robotics Engineer position, and why are they important?

To thrive as a Remote Robotics Engineer, you need a strong background in robotics engineering, programming (such as Python or C++), and experience with embedded systems, supported by a relevant degree in engineering or computer science. Familiarity with industry tools like ROS (Robot Operating System), simulation software (Gazebo or MATLAB), and version control systems (Git) is commonly required, along with relevant certifications. Strong problem-solving skills, self-motivation, effective communication, and the ability to work independently are highly valued in remote settings. These abilities ensure the successful design, testing, and deployment of robotics solutions while collaborating virtually with interdisciplinary teams.

What are some typical challenges a Remote Robotics Engineer might face, and how are they addressed?

Remote Robotics Engineers often encounter challenges related to hardware access, coordination with on-site teams, and troubleshooting physical systems from a distance. To address these issues, engineers frequently utilize remote desktop tools, simulation platforms, and detailed documentation to diagnose and resolve problems without being physically present. Regular video meetings, thorough written communication, and close collaboration with on-site personnel help bridge the gap between remote and in-person work. Proactively coordinating schedules for hands-on testing and leveraging cloud-based development environments can also improve project efficiency and outcomes.

What are the most commonly searched types of Robotics Engineer jobs in Toronto, ON? The most popular types of Robotics Engineer jobs in Toronto, ON are:
Infographic showing various Remote Robotics Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Software Engineer, ML Infrastructure

Software Engineer, ML Infrastructure

Serve Robotics

Toronto, ON โ€ข Remote

$155K - $190K/yr

Full-time

Re-posted 17 days ago


Job description

At Serve Robotics, weโ€™re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. Itโ€™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. Weโ€™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.

As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.

Responsibilities
  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.

  • Build data discovery features for the platform.

  • Create and maintain search features such as natural language querying

  • Develop and maintain our orchestration and scheduling systems.

  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management

  • Build integrations with annotation providers to efficiently review large scale data preannotations

  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications
  • BS or MS in computer science with focus in data engineering and/or machine learning

  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows

  • Experience building data mining and search capabilities

  • Experience with both Python and SQL is required

  • Solid understanding of data distributions and their impact on ML Models

  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases

  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out
  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)

  • Experience working with Multi Modal data (Lidar, Camera, etc)

  • Experience with robotics systems

  • Experience optimizing large scale vector databases

Compensation Range: $155K - $190K