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Embedded Software Manager Jobs in Toronto, ON (NOW HIRING)

Integrate camera calibration technologies into embedded firmware for on-device execution and ... management, and interrupt handling * Experienced with major ML frameworks, ONNX, container ...

Embedded Engineer

Toronto, ON · Hybrid

$130K - $150K/yr

You'll work closely with our existing software engineer and have immediate impact on the things ... Camera management and video handling * Computer vision and feature detection * Machine learning or ...

We develop smart building software and integrated hardware solutions that connect property managers ... Execute test plans and test cases for hardware products, embedded software, and connected IoT ...

Software Developer - Diagnostics

Markham, ON · Hybrid

CA$9.0K - CA$136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Solid foundation in software development with hands-on experience in embedded software design and ... manager}. The selected candidate will be required to travel About GM Our vision is a world with ...

Showing results 21-40

Embedded Software Manager information

See Toronto, ON salary details

$33.9K

$127.2K

$180.8K

How much do embedded software manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for embedded software manager in Toronto, ON is $127,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,454.00 and $150,308.00 per year, depending on experience, location, and employer.

What does an embedded software manager do?

An Embedded Software Manager leads a team of engineers in designing, developing, and maintaining software for embedded systems. They oversee project timelines, ensure code quality, and collaborate with hardware teams to optimize performance. Their responsibilities include technical guidance, team development, and managing software lifecycle processes. Strong expertise in embedded programming, real-time systems, and leadership is essential for success in this role.

What are the typical daily responsibilities of an embedded software manager?

As an Embedded Software Manager, your daily responsibilities often include overseeing software development projects, assigning tasks to team members, and ensuring that project milestones are met. You’ll frequently collaborate with hardware engineers, product managers, and quality assurance teams to align engineering efforts with business goals. Regular activities may also include code reviews, technical problem-solving, mentoring junior engineers, and facilitating communication between technical staff and non-technical stakeholders. The role is a blend of hands-on technical oversight and team leadership, aimed at fostering a productive and innovative development environment.

What are the key skills and qualifications needed to thrive in the embedded software manager position, and why are they important?

An Embedded Software Manager needs strong expertise in embedded systems development, software architecture, and project management, typically supported by a degree in computer science, electrical engineering, or a related field. Familiarity with programming languages like C/C++, real-time operating systems (RTOS), version control systems, and certifications such as PMP or Certified ScrumMaster can be highly beneficial. Leadership, effective communication, and problem-solving skills are crucial for motivating engineering teams and bridging gaps between technical staff and stakeholders. Together, these skills ensure the delivery of high-quality embedded software solutions on time and within budget in complex technological environments.

What job categories do people searching Embedded Software Manager jobs in Toronto, ON look for?

The top searched job categories for Embedded Software Manager jobs in Toronto, ON are:

Infographic showing various Embedded Software Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $127,222 per year, or $61.2 per hour.

Perception Software Engineer

indie

Toronto, ON

Full-time

Re-posted 14 days ago


Job description

We are seeking a talented and motivated Perception Software Engineer to join our growing team. In this role, you will be responsible for designing, implementing, optimizing, and validating software modules that run on complex multi-processor embedded systems.

The ideal candidate is a self-driven engineer with strong problem-solving skills, deep expertise in computer vision and embedded software development, and a passion for delivering high-quality solutions in a collaborative environment. This position also offers opportunities to provide technical leadership and mentorship across engineering teams.

Responsibilities
  • Develop, optimize, test, and maintain computer vision algorithms and tools related to camera calibration and geometric transformations for embedded platforms and PC-based environments.
  • Integrate camera calibration technologies into embedded firmware for on-device execution and support deployment in production environments.
  • Benchmark and optimize algorithms for heterogeneous computing architectures, including ARM CPUs, DSPs, and NPUs.
  • Design and develop firmware components and SDK packages for DSP and NPU platforms.
  • Define validation strategies and test plans to ensure software quality, performance, and reliability.
  • Document designs, technical findings, best practices, and implementation guidance.
  • Collaborate with internal and external stakeholders to support product development and deployment activities.
  • Participate in code reviews and ensure compliance with automotive software quality standards, including MISRA guidelines.
Qualifications
  • Minimum Master's degree in software engineering, computer science, and/or equivalent disciplines
  • Minimum 5 years of advanced C/C++/Python and embedded software development experience
  • Experienced with computer vision algorithm development with strong understanding of machine learning algorithms and concepts  
  • Experienced working with embedded system running RTOS/Linux and knowledgeable with threading, optimization, memory management, and interrupt handling
  • Experienced with major ML frameworks, ONNX, container technologies, and build systems
  • Knowledge in SoC/processor architectures, Xtensa and/or ARM processors
  • Strong analytical/problem solving skills, software design skills, and communication skills