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Robotics Software Engineer Jobs in Ontario (NOW HIRING)

Collaborate with cross-functional teams, including robotics, software, and manufacturing engineers ... to integrate ML solutions into production workflows. * Stay current with the latest developments in ...

Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We ... Collaborate with the robotics and automation team to integrate software with hardware systems and ...

This role partners directly with robotic processing engineers, and manufacturing teams who rely on these tools daily, ensuring the software enables efficient, reliable robotic manufacturing at scale.

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

Technician, Robotics

Brampton, ON · On-site

CA$37 - CA$46/hr

Minimum five (5) years of hands-on experience programming robots. ( Fanuc Robots essential , Kuka and/or Motoman would be an asset) * Knowledge and experience using Fanuc DCS software * Previous ...

... and Robotics, Motion Control and Machine Safety, creating close relationships with our valued ... Software Developer will use their knowledge to design, create, implement, and maintain software ...

... and Robotics, Motion Control and Machine Safety, creating close relationships with our valued ... Software Developer will use their knowledge to design, create, implement, and maintain software ...

Showing results 21-40

Robotics Software Engineer information

See Ontario salary details

$69K

$122.4K

$179K

How much do robotics software engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for robotics software engineer in Ontario is $122,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What does a robotics software engineer do?

The job duties of a robotics software engineer are working to develop software for robot control and automation. In this job, your responsibilities include working on an embedded system that controls automated equipment. You may build new software or test, improve, or debug current software. Most robotics software engineers work for the manufacturing industry and focus on robots that companies use in product production. You may work in other fields that use robotics as well. This job may include responsibilities such as developing a user interface that non-technical employees can use to set up the equipment.

What does a robotics software engineer do?

A Robotics Software Engineer designs, develops, and maintains the software that controls and powers robots. This includes writing code for robot perception, control algorithms, and integration with hardware components. They work closely with hardware engineers to ensure seamless interaction between the robot's physical and digital systems. Their work often involves programming in languages such as C++, Python, or ROS (Robot Operating System) and testing robots in real-world or simulated environments.

What are the key skills and qualifications needed to thrive as a robotics software engineer, and why are they important?

To thrive as a Robotics Software Engineer, you need a strong background in computer science, robotics, and mathematics, often supported by a relevant degree and experience in algorithm development. Proficiency with programming languages like C++, Python, and ROS (Robot Operating System), as well as familiarity with simulation tools and version control systems, is essential. Problem-solving ability, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and adapting to evolving technologies. These skills and qualities are vital for designing, implementing, and maintaining reliable robotic systems that perform effectively in real-world environments.

What are some common challenges faced by robotics software engineers when integrating software with hardware systems?

Robotics Software Engineers often encounter challenges related to ensuring seamless communication between software algorithms and physical hardware components. These can include dealing with sensor noise, managing real-time constraints, debugging hardware-software mismatches, and ensuring reliable performance in unpredictable environments. Close collaboration with electrical and mechanical engineers is essential to quickly resolve integration issues and to test software on physical robots. Adapting to rapid hardware changes and troubleshooting in live environments require strong problem-solving skills and effective cross-disciplinary teamwork.

What is the difference between Robotics Software Engineer vs Mechatronics Engineer?

AspectRobotics Software EngineerMechatronics Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related field; programming skillsBachelor's in Mechatronics, Mechanical, or Electrical Engineering; multidisciplinary knowledge
Work EnvironmentSoftware development teams, robotics labs, research facilitiesDesign, integrate mechanical and electronic systems, often in manufacturing or automation
Employer & Industry UsageTech companies, robotics firms, research institutionsManufacturing, automation, aerospace, automotive industries

While both roles involve robotics, a Robotics Software Engineer primarily focuses on developing software for robotic systems, whereas a Mechatronics Engineer designs and integrates mechanical, electronic, and software components. The roles often overlap but differ in their core focus areas and skill sets.

What are the most commonly searched types of Robotics Software Engineer jobs in Ontario?

The most popular types of Robotics Software Engineer jobs in Ontario are:

What are popular job titles related to Robotics Software Engineer jobs in Ontario?

For Robotics Software Engineer jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Robotics Software Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,386 per year, or $58.8 per hour.

Lead Software Engineer -- Enterprise Applications

Citi

Mississauga, ON

CA$120K - CA$170K/yr

Full-time

Posted 7 days ago


Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 178 frontline employees who took The Breakroom Quiz

38th of 171 rated banks


Job description

Role Overview:
 

Citi’s Banking Technology organization is seeking a highly hands-on Lead Software Engineer to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial Banking.
 

This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions within small, agile squads. The successful candidate will operate with an AI‑first mindset, emphasizing rapid prototyping, MVP‑driven development, and iterative delivery of production‑grade AI capabilities.
 

Key Responsibilities:

  • AI Solution Development: Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability.

  • Agentic Systems: Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs).

  • Full‑Stack AI Engineering: Build full‑stack applications integrating LLM‑driven workflows and AI coding tools (e.g., Devin, GitHub Copilot).

  • Iterative Delivery: Drive an MVP‑first, rapid‑iteration approach with continuous experimentation and improvement.

  • Evaluation & Optimization: Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior.

  • Emerging Technologies: Research, prototype, and integrate advances in agent‑based, autonomous, and generative AI technologies.

  • Technical Collaboration: Contribute hands‑on within cross‑functional teams and provide technical guidance and mentorship to junior engineers.

  • Domain Alignment: Ensure AI solutions are well‑aligned to banking and financial services requirements, constraints, and business outcomes.

Qualifications:

  • Programming: Strong proficiency in Python and/or Java (Spring Boot); working knowledge of JavaScript/TypeScript (Angular, Node.js). Full‑stack experience is a plus.
     

AI/ML Expertise:

  • Solid understanding of core AI concepts such as knowledge representation, planning, and multi‑agent systems.

  • Hands‑on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK).

  • Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit‑learn, NumPy, Pandas).

  • Familiarity with AI coding tools such as Devin, Claude Code, GitHub Copilot, and Antigravity.

  • Software Engineering: Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security.

  • Architecture: Experience designing API‑first, microservices‑based and event‑driven architectures, including data engineering patterns for AI systems.

  • Platforms: Hands‑on experience with Docker, Kubernetes, and OpenShift.

  • Problem Solving & Communication: Strong analytical skills with the ability to clearly communicate complex technical concepts.

  • Domain Knowledge: Solid understanding of banking/financial services and regulated environments.

  • Nice to Have: Experience in data science (statistical modeling, experimentation) and interest in mentoring junior AI engineers.

Experience:

  • 6–10 years of progressive software engineering experience with a strong hands‑on coding background.

  • 2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning.

  • Demonstrated experience delivering enterprise‑scale AI capabilities into production.

Education:
Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or a related quantitative discipline.


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group: Technology

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Job Family:Applications Development

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Time Type:Full time

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Primary Location Full Time Salary Range:$120,800.00 - $170,800.00

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Most Relevant Skills Please see the requirements listed above.

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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.


What Citibank employees say

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Benefits

Hours and flexibility

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Get the full story on Breakroom


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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US