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

Generac

Senior Engineer QA

Toronto, ON · On-site +1

... 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 ...

United Airlines

Senior Data Engineer

Toronto, ON · On-site +1

From autonomous cars to life-saving robots, our digital and software technology experts think ... Canada - PST (Remote) About the role you're considering As a Data Engineer, you can transform how a ...

NTT DATA Services

Senior AI Engineer - Remote

Toronto, ON · 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 ...

NTT DATA Services

Senior AI Engineer - Remote

Toronto, ON · 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 ...

United Airlines

Sr. Software Engineer

Toronto, ON · On-site +1

CA$147K/yr

From autonomous cars to life-saving robots, our digital and software technology experts think ... Remote anywhere in Canada About the job you're considering: As a Senior Software Engineer, you will ...

Autodesk

Senior Software Developer

Toronto, ON · On-site +1

CA$107K - CA$157K/yr

... design, and robotics-that give companies and individuals the power to work more quickly ... Collaborate effectively with cross-functional and remote teams Qualifications * Bachelor's degree ...

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

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All JobsRobotics Engineer JobsRemote Robotics Engineer JobsRemote Robotics Engineer Jobs in Toronto, ON

Remote Robotics Engineer information

Is robotics a dead field?

Robotics is an active and growing field with applications in manufacturing, healthcare, logistics, and research. Robotics engineers work with sensors, automation systems, and programming languages like Python and C++, and the demand for skilled professionals continues to increase as technology advances.

What engineers make $300,000 a year?

Senior robotics engineers with extensive experience, advanced skills in automation, AI, and control systems, and often working in specialized industries or leadership roles can earn $300,000 or more annually. High compensation is typically associated with seniority, advanced certifications, and working in high-demand sectors such as aerospace, defense, or large tech companies.

What engineers make $500,000?

Senior robotics engineers with extensive experience, advanced skills in automation, AI, and control systems, and often working in specialized industries or leadership roles can earn salaries approaching or exceeding $500,000 annually. High compensation typically involves a combination of base salary, bonuses, stock options, and other incentives, especially in large tech companies or startups. Achieving this level often requires advanced degrees, certifications, and a strong track record of innovation and leadership in robotics engineering.

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.

Can a Robotics Engineer work remotely?

Yes, many Robotics Engineers can work remotely, especially those involved in software development, simulation, and system design. However, roles that require hands-on work with hardware or on-site testing may necessitate in-person presence. Remote work opportunities depend on the employer, project requirements, and the engineer's skills with tools like CAD, programming languages, and remote collaboration platforms.

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:
What are popular job titles related to Remote Robotics Engineer jobs in Toronto, ON? For Remote Robotics Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Robotics Engineer jobs in Toronto, ON look for? The top searched job categories for Remote Robotics Engineer jobs in Toronto, ON are:
Remote Robotics Engineer jobs near you
Software Engineer, ML Infrastructure

Software Engineer, ML Infrastructure

Serve Robotics

Toronto, ON • Remote

$155K - $190K/yr

Full-time

Posted 19 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.

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