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Firmware Engineer Intern Jobs in Toronto, ON (NOW HIRING)

Firmware Engineer Intern information

See Toronto, ON salary details

$20.5K

$81.7K

$162.2K

How much do firmware engineer intern jobs pay per year?

As of Aug 25, 2026, the average yearly pay for firmware engineer intern in Toronto, ON is $81,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,559.00 and $115,475.00 per year, depending on experience, location, and employer.

What is a firmware engineer intern?

A Firmware Engineer Intern assists in designing, developing, and testing low-level software that controls hardware devices. They work with embedded systems, write code in languages like C or C++, and debug firmware issues. Interns collaborate with engineers to optimize performance, ensure reliability, and support hardware integration. This role provides hands-on experience with development tools, testing equipment, and real-world engineering challenges.

What are the key skills and qualifications needed to thrive as a firmware engineer intern?

To thrive as a Firmware Engineer Intern, you should possess a solid understanding of embedded systems, proficiency in programming languages like C/C++, and be pursuing a degree in electrical engineering, computer engineering, or a related field. Familiarity with version control systems (like Git), microcontrollers (such as ARM), and hardware debugging tools is commonly expected. Strong analytical thinking, attention to detail, and effective communication skills are important soft skills for collaborating with cross-functional teams. These abilities are crucial for successfully developing reliable firmware and contributing to collaborative engineering projects.

What types of projects do firmware engineer interns typically work on during their internship?

Firmware Engineer Interns usually assist with designing, coding, and testing embedded software that runs on microcontrollers or electronic devices. Projects may include developing new features for existing products, troubleshooting and debugging firmware issues, and working closely with hardware engineers to ensure software-hardware integration. Interns often participate in code reviews, documentation, and sometimes collaborate on prototyping or product validation. This hands-on experience provides valuable exposure to the firmware development lifecycle and helps interns build practical skills for a future engineering career.

What are the most commonly searched types of Firmware Engineer jobs in Toronto, ON?

The most popular types of Firmware Engineer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Firmware Engineer Intern jobs?

Cities near Toronto, ON with the most Firmware Engineer Intern job openings:

Infographic showing various Firmware Engineer Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $81,734 per year, or $39.3 per hour.

AI Compiler Software Intern (PEY)

Toronto, ON

Internship

Re-posted 17 days ago


Job description

At Tenstorrent, interns don't just write code-they help shape the future of AI compute. As a Software Compiler Intern, you'll work with a dedicated mentor and collaborate across software, firmware, hardware, and systems teams. This is a rare chance to work on performance-critical code and gain experience across the full AI stack.

This role is on-site based in Toronto, Canada.

Who You Are

  • Pursuing (or recently completed) a degree in EE, CE, CS, or a related field.
  • Solid foundation in C/C++ and algorithms; Python skills are a bonus.
  • Curious about compilers, ML, parallel systems, or processor architecture.
  • Problem-solver who enjoys working across abstraction layers

What We Need

  • Contribute to the development of Tenstorrent's ML graph compiler.
  • Benchmark and optimize key ML workloads across hardware/software.
  • Build performance analysis tools to inform compiler and runtime design.
  • Collaborate with ML and systems teams to co-design across the stack.

What You Will Learn

  • Compiler design for machine learning models and workloads.
  • End-to-end co-design of software and cutting-edge AI hardware.
  • Performance tuning and analysis in a high-performance runtime.
  • Real-world ML integration with frameworks and low-level systems.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.