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Entry Level Ai Robotics Engineer Jobs in Toronto, ON

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

Must have PLC programming and Troubleshooting experience with Allen Bradley Rs Logix and Studio ... AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient ...

Through our robust product engineering, outstanding tooling capabilities and diverse process ... AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient ...

Graduate of Electrical or Mechanical Engineering Technology (3-year Robot or Automation Program ... Notice regarding the use of AI: As part of our commitment to a fair, consistent, and efficient ...

... Robotics. - Knowledge of HMI programming. - Excellent problem solving, judgement and decision ... AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient ...

Robotic Welders: Understanding of robotic welding systems and programming. Knowledge of robotic ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software ...

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Entry Level Ai Robotics Engineer information

What are some common challenges an entry level AI robotics engineer might face in their first year, and how can they overcome them?

Entry Level AI Robotics Engineers often encounter challenges such as bridging the gap between theoretical knowledge and practical implementation, adapting to rapidly evolving technologies, and collaborating effectively with multidisciplinary teams. Navigating unfamiliar hardware platforms or debugging complex sensor integrations can also be daunting at first. To overcome these challenges, new engineers should actively seek mentorship, participate in code reviews, and engage in hands-on projects, which help build confidence and foster a deeper understanding of both AI and robotics systems.

What does an entry level AI robotics engineer do?

An Entry Level AI Robotics Engineer assists in designing, developing, and testing robotic systems that incorporate artificial intelligence. They typically work on tasks such as programming robots, integrating sensors, developing algorithms for machine learning, and troubleshooting hardware and software issues. Under the supervision of senior engineers, they help implement and optimize AI models to improve robotic performance and autonomy. This role often involves collaboration with multidisciplinary teams and learning new technologies to stay current in the rapidly evolving field of robotics.

What are the key skills and qualifications needed to thrive as an entry level AI robotics engineer?

To thrive as an Entry Level AI Robotics Engineer, you need a strong background in computer science, robotics, and mathematics, typically supported by a relevant bachelor's degree. Familiarity with programming languages like Python or C++, robotics simulation tools (e.g., ROS, Gazebo), and basic knowledge of machine learning frameworks is highly valued. Problem-solving skills, creativity, and effective teamwork help you excel in collaborative engineering environments. These competencies are vital for developing innovative robotic solutions and ensuring smooth integration of AI technologies into real-world applications.

How to become an entry level AI robotics engineer with no experience?

To become an entry-level AI robotics engineer with no experience, focus on gaining foundational knowledge in programming languages like Python and C++, and learn robotics frameworks such as ROS. Pursuing relevant education, such as a bachelor's degree in robotics, computer science, or electrical engineering, and working on personal projects or internships can help build practical skills and demonstrate your abilities to employers.

How to become an entry-level AI robotics engineer?

To become an entry-level AI robotics engineer, candidates typically need a bachelor's degree in robotics, computer science, electrical engineering, or a related field. Gaining skills in programming languages like Python or C++, understanding of robotics frameworks such as ROS, and knowledge of AI and machine learning are essential. Internships, project experience, and familiarity with hardware components can also improve job prospects.

What is the difference between Entry Level Ai Robotics Engineer vs Entry Level Mechanical Robotics Engineer?

AspectEntry Level Ai Robotics EngineerEntry Level Mechanical Robotics Engineer
Required CredentialsBachelor's in Computer Science, Robotics, or related; knowledge of AI, programming, and roboticsBachelor's in Mechanical Engineering, Robotics, or related; knowledge of mechanical systems and design
Work EnvironmentSoftware development, AI algorithm implementation, robotics programmingMechanical design, prototyping, assembly, and testing of robotic systems
Employer & Industry UsageTech companies, AI startups, robotics firmsManufacturing, automation, industrial robotics

Both roles involve working with robotics but focus on different aspects: AI Robotics Engineers emphasize software, algorithms, and AI integration, while Mechanical Robotics Engineers concentrate on mechanical design and hardware. The choice depends on your interest in software versus hardware within robotics.

What job categories do people searching Entry Level Ai Robotics Engineer jobs in Toronto, ON look for?

The top searched job categories for Entry Level Ai Robotics Engineer jobs in Toronto, ON are:

Infographic showing various Entry Level Ai Robotics Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 68% Physical, 6% Hybrid, and 26% Remote job distribution.

Full-time

Medical, Dental, Vision

Re-posted 20 days ago


Job description

Promise Robotics is pioneering Physical AI for homebuilding - a rapidly growing, venture-backed company bringing together AI, robotics, and manufacturing to help the homebuilding industry meet the growing demand for housing. Our robotic systems, built and operated inside  AI-powered factories, give the industry the production capacity, consistency, and speed to build more high-quality homes than traditional methods allow. Our team spans AI researchers and roboticists to factory operators, technicians, and production teams - all building the future of homebuilding together. 

If you're excited by AI & Robotics and want to make an impact while working on a high performance team, then look no further.

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Our current teams include:
  • Software Engineering
  • Hardware Engineering
  • Production
  • Finance
  • People Operations
  • Marketing
  • Sales
Benefits:
Competitive salary: we believe in data-driven, equitable compensation decisions. We recently completed a compensation review and implemented salary bands that enable us to pay mid to above-average Canadian salaries across various industries.
Stock options: everyone has a stake in our company.
Holistic benefits: we have a comprehensive benefits package that includes paramedical, dental, vision, and drug coverage for you and your dependents, as well as a health care spending account. These benefits start right from Day 1.
Flexible personal days and vacation policies: we care deeply about the well-being of our team.
Open, collaborative, and supportive culture: you will be part of an incredibly high-performing and collaborative team changing the future of an industry!
Relocation assistance package (if required)
 
 
Promise Robotics is proud to be an equal-opportunity workplace. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, and gender identity.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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