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Freelance Robotics Software Engineer Jobs in Toronto, ON

Waabi

Senior / Staff Software Engineer

Toronto, ON

... software engineers via code reviews, technical design reviews, and sharing general software ... Qualifications: - MS/PhD or Bachelors degree with a Computer Science, Robotics and/or similar ...

Peoples Group

Senior RPA Engineer

Toronto, ON

The Robotic Process Automation team operates as a transversal Center of Excellence (CoE) serving ... You are a senior software engineer who happens to specialize in automation, not a developer who ...

Sage Recruiting

Embedded Engineer

Toronto, ON · Hybrid

$130K - $150K/yr

Embedded Engineer - Scientific Robotics & Automation Location: Flexible / Hybrid (in-office ... You'll work closely with our existing software engineer and have immediate impact on the things ...

Promise Robotics

Want to work with us?

Toronto, ON

Promise Robotics is pioneering Physical AI for homebuilding - a rapidly growing, venture-backed ... Software Engineering * Hardware Engineering * Production * Finance * People Operations * Marketing

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Freelance Robotics Software Engineer information

What are the key skills and qualifications needed to thrive as a Freelance Robotics Software Engineer, and why are they important?

To thrive as a Freelance Robotics Software Engineer, you need strong programming skills (commonly in C++, Python, or ROS), a solid understanding of robotics concepts, and typically a degree in computer science, robotics, or engineering. Expertise with robotics simulation tools (like Gazebo), version control systems (such as Git), and familiarity with hardware integration are highly valued, and certifications in robotics or software development can be advantageous. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills for managing independent projects and collaborating with clients. These skills ensure you can deliver robust, innovative solutions while adapting quickly to client needs and the evolving landscape of robotics technology.

What does a Freelance Robotics Software Engineer do?

A Freelance Robotics Software Engineer designs, develops, and maintains software systems that control robots and automated devices. They work independently or on contract to build algorithms, integrate hardware and software, and troubleshoot robotic systems for clients in various industries. Their responsibilities may include programming robot behaviors, developing user interfaces, and collaborating with engineers to ensure optimal robot performance. Freelancers often manage their own schedules and projects, providing flexible expertise to startups, research labs, or manufacturing companies.

How do Freelance Robotics Software Engineers typically collaborate with hardware teams during a project?

Freelance Robotics Software Engineers often work closely with hardware teams to ensure seamless integration between software and physical components. This collaboration may involve regular meetings, shared documentation, version control systems, and testing sessions to troubleshoot issues. Effective communication and flexibility are key, as hardware changes may require rapid software adjustments. Freelancers typically use remote collaboration tools and may occasionally visit on-site for system testing or deployment.

What is the difference between Freelance Robotics Software Engineer vs Robotics Software Developer?

AspectFreelance Robotics Software EngineerRobotics Software Developer
CredentialsTypically requires a degree in robotics, computer science, or related fields; certifications are optionalUsually holds a degree in robotics, computer science, or engineering; certifications can enhance prospects
Work EnvironmentIndependent, project-based, often remote or client-siteEmployed by companies or research institutions, working in office or lab settings
Employer & Industry UsageFreelance roles across various industries like manufacturing, healthcare, and researchFull-time roles within robotics, automation, or tech companies

In summary, Freelance Robotics Software Engineers work independently on diverse projects, often remotely, while Robotics Software Developers are typically employed full-time within organizations. Both roles require similar technical skills and educational backgrounds, but differ mainly in work setup and employment status.

What are the most commonly searched types of Robotics Software Engineer jobs in Toronto, ON? The most popular types of Robotics Software Engineer jobs in Toronto, ON are:
What are popular job titles related to Freelance Robotics Software Engineer jobs in Toronto, ON? For Freelance Robotics Software Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Freelance Robotics Software Engineer jobs in Toronto, ON look for? The top searched job categories for Freelance Robotics Software Engineer jobs in Toronto, ON are:
Freelance Robotics Software Engineer jobs near you
Infographic showing various Freelance Robotics Software Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Software Engineer, ML Infrastructure

Serve Robotics

Toronto, ON • Remote

$155K - $190K/yr

Full-time

Re-posted 5 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