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Manager, Software Engineering – Diagnostics Infrastructure

Job in Markham, Ontario, I3P, Canada
Listing for: GM of Canada Company
Full Time position
Listed on 2026-10-21
Job specializations:
  • Software Development
    Software Engineer, Software Architect, Software Project Mgr/ Lead, Software Testing
Salary/Wage Range or Industry Benchmark: 147000 CAD Yearly CAD 147000.00 YEAR
Job Description & How to Apply Below
Job description vacancy status  this posting is for an existing vacancy within the organization and is open to new applications. (backfill)
Ai disclosure  as part of the application process, artificial intelligence will be used in the hiring process for this role. Hybrid - this role is categorized as hybrid. This means the successful candidate is expected to report to markham elevation center three times per week, at minimum [or other frequency dictated by the business].
About the role  at general motors, we’re transforming mobility through innovation — driving toward a future of zero crashes, zero emissions, and zero congestion. As part of this mission, we’re building the next generation of autonomous vehicles and the platforms that power them. We’re looking for a manager of software engineering to join the autonomous vehicles integrity platform group. This is a high-impact leadership role responsible for guiding the av diagnostics infrastructure team as it develops the fault detection and diagnostic foundation for autonomous-driving and active-safety systems.

You’ll lead engineers building shared software for av sensing, compute, and vehicle platforms, with reuse across av and ivi systems. The role combines team leadership, product ownership, architecture, and execution across multiple vehicle programs.
What you’ll do (responsibilities)   lead, coach, and develop a team of software engineers
Provide feedback, career development, performance management, hiring, and succession planning
Own the team’s technical roadmap and delivery for shared av diagnostic infrastructure across autonomous-driving and active-safety programs
Guide architecture and implementation of uds server, dtc manager, diagnostic monitor library, manufacturing support services, configuration, common utilities, and scan tools
Partner with systems engineering and software teams to turn diagnostic requirements into reliable, maintainable platform software
Coordinate integration with av health, cybersecurity, software updates, communications, power management, calibration, platform software, manufacturing, service, qa, and v&v teams
Drive technical risk management, issue resolution, dependency tracking, and release readiness for vehicle-program milestones
Establish strong engineering practices for design reviews, code reviews, unit and integration testing, automation, static analysis, ci/cd, logging, metrics, and observability
Ensure the team delivers software that supports safety, compliance, manufacturing, serviceability, and robust degraded operation
Communicate status, risks, decisions, and recovery plans clearly to technical and program leadership
Promote an inclusive, collaborative culture focused on accountability, innovation, continuous improvement, and technical excellence
What you’ll need (required qualifications)   bachelor’s degree in computer science, software engineering, electrical or computer engineering, or a related technical field
8+ years of professional software engineering experience, including embedded, automotive, platform, or infrastructure software
Experience leading technical teams and delivering complex software across multiple stakeholders, platforms, or programs
Strong experience with c or c++ and python, including software design, implementation, debugging, code review, and unit testing

Experience with embedded linux or posix-based systems, software interfaces, interprocess communication, networking, and hardware/software integration

Experience with automotive diagnostics, such as uds/iso 14229, diagnostic trouble codes, diagnostic identifiers, routines, or ecu diagnostic services
Experience defining or executing software quality practices, including test strategy, automation, code coverage, static…
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