Jobs
Required Skills
Python
Job Description
Vacancy Status:
**Yes -**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
Work Arrangement: Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre (MEC) three times per week, at minimum.
Job Description:
Join GM’s mission to build the future of mobility. As a Senior Software Engineer, you will lead the development of embedded C++ software for in-vehicle mapping systems, supporting autonomous and electric vehicle platforms.
Responsibilities include:
- Design, implement, and test embedded C++ software for real-time connected in-vehicle mapping applications.
- Collaborate with Systems Engineers to define mapping-related software requirements and architecture.
- Conduct design and code reviews focused on C++ best practices and performance optimization.
- Apply rigorous software development principles in an Agile/Scrum environment.
- Support software testing through unit testing, simulation, bench and in-vehicle validation.
- Document software designs and development processes clearly and thoroughly.
- Support continuous integration and deployment pipelines for mapping software modules.
Required Skills and Experience
- 5+ years of experience developing production-grade software in C++, preferably for embedded systems.
- 2+ years of experience in automotive embedded software, with a focus on mapping, localization, or navigation systems.
- Experience working with DevOps pipelines, build systems, and integration of application software with middleware.
- Experience with AI-assisted coding tools and prompt engineering for rapid development.
- Strong foundation in object-oriented design, algorithms, data structures, and design patterns.
- Familiarity with large codebases and CI/CD environments.
- Proven ability to mentor and guide technical teams.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Minimum Education Required
- Bachelor’s Degree in Computer Science, Software, Electrical or Computer Engineering
Preferred Skills and Experience
- Knowledge of ADAS, Autonomous Vehicles, and mapping technologies.
- Experience with automotive platforms and protocols (e.g. AUTOSAR, QNX, Ethernet/CAN/LIN)
- Familiarity with vehicle connectivity systems and automotive cybersecurity principles.
- Proficiency in additional languages such as Python or C#.
Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
-
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
-
Healthcare, dental, and vision benefits.
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Life insurance plans to cover you and your family.
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Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
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GM Vehicle Purchase Plan for you, your family and friends.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Non-Discrimination and Equal Employment Opportunities
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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About General Motors

General Motors
PublicGeneral Motors Company (GM) is an American multinational automotive manufacturing company headquartered in Detroit, Michigan, United States. The company is most known for owning and manufacturing four automobile brands: Chevrolet, Buick, GMC, and Cadillac, each a separate division of GM.
10,001+
Employees
Markham
Headquarters
Reviews
3.1
4 reviews
Work Life Balance
2.5
Compensation
2.0
Culture
1.5
Career
1.5
Management
1.0
25%
Recommend to a Friend
Pros
Working on interesting technology and cool projects
Big name company recognition
HR recognition of quality work
Cons
Poor management and leadership issues
Blocked internal promotions despite qualifications
Toxic corporate culture
Salary Ranges
6 data points
Junior/L3
Junior/L3 · TRACK Rotational Program
1 reports
$100,000
total / year
Base
$87,000
Stock
-
Bonus
$5,000
$100,000
$100,000
Interview Experience
7 interviews
Difficulty
2.0
/ 5
Duration
14-28 weeks
Experience
Positive 14%
Neutral 86%
Negative 0%
Interview Process
1
Application Review
2
HireVue Behavioral Assessment
3
Coding Challenge
4
Phone Screen
5
Final Round Interview
Common Questions
Behavioral/STAR
Coding/Algorithm
Technical Knowledge
Past Experience
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