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Added 3 mins ago
NT
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Added 49 mins ago
GM
Software Engineering Manager - Vehicle Data Platform
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Oshawa, ON · Markham, ON
- Full-time
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- The right hand of the Construction Manager.

General Motors

Software Engineering Manager - Vehicle Data Platform

Oshawa, ON, Canada
Markham, ON, Canada

The salary range for this role is $147,000 to $196,600. · Full-time

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Job details

Pay: The salary range for this role is $147,000 to $196,600.
Job type: Full-time
Posting language: English
Posted: Oct 6, 2026

Original job description

Job Description

Vacancy Status:

This posting is for an existing vacancy within the organization and is open to new applications.

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 or Oshawa office three times per week, at minimum.

The Role

The Data Engineering organization at General Motors is building a unified Vehicle Data Platform that moves data and configuration between vehicle ECUs and the cloud. Our team is the only team within General Motors that delivers software on every compute module the company has. Our software is delivered as libraries, apps, and services on Android, Linux, and QNX and covers four areas. The control plane retrieves configuration from the cloud and applies it across the vehicle's ECUs. The data plane collects, processes, and forwards data from vehicle systems to cloud storage. The SDK lets application teams use the platform. The unified logging infrastructure manages logs across the vehicle software stack.

We are looking for a Software Engineering Manager to lead a team that owns one or more of these areas. You will hire and develop engineers, make architecture decisions with the team, and own the software through release and field support. You will work with application, platform, cloud, cybersecurity, and privacy teams to deliver software on production ECUs with limited CPU, memory, storage, and bandwidth.

What You'll Do (Responsibilities)

Lead, hire, and develop a team of software engineers. Set goals, give feedback, and manage performance and career growth.
Own delivery of the software in your team's areas, which can include the control plane, the data plane, the SDK, and the unified logging infrastructure, across Android, Linux, and QNX, from planning through release and field support.
Set technical direction for your team's areas and for the integration between the control plane (configuration, arbitration, lifecycle) and the data plane (streaming data and file based transfer), and make architecture and design decisions with the team.
Stay involved in the code through design work, code and test case reviews, and prototyping as needed.
Hold the team to standards for reliability, performance, data privacy, and resource use on production ECUs.
Define and scale engineering practices across the Data Platform organization, including software verification (unit and integration testing), documentation per the software development process, and release criteria.
Work with application teams and product stakeholders to define the roadmap for your team's areas based on their needs and on fleet data requirements.
Partner with platform, cloud, DevOps, cybersecurity, and privacy teams to roll out new software and configuration and to drive integration, alignment, and adoption of the Data Platform and data governance policy.
Report status, risks, and tradeoffs to leadership and partner teams.
Own operational accountability for the software in production: define health metrics, lead incident response, and drive root cause analysis and corrective actions.
Mentor engineers and grow technical leads within the team.

Your Skills & Abilities (Required Qualifications)

Bachelor's degree in Computer Science, Engineering, or a related field.

6+ years in software development or systems engineering across Android, Linux, and/or QNX.

2+ years managing software engineers, including hiring, performance management, and career development.

Coding proficiency in C, C++, and/or Java/Kotlin for Android, with experience in platform level integrations.

Experience delivering software on production ECUs or other devices with limited CPU, memory, storage, and bandwidth.

Experience with at least one of the following: control plane or fleet management software, data collection and transfer pipelines, logging or telemetry software, or SDKs and libraries used by other teams.

Experience designing telemetry for operational visibility and remote control at fleet scale.

Experience scaling data flows from ECU to cloud.

Track record of delivering critical software with requirements for reliability, performance, and data privacy.

Experience leading technical initiatives across teams, including teams outside your reporting line.

Technical communication and design documentation skills, with the ability to present status, risks, and tradeoffs to leadership.

What Can Give You a Competitive Advantage (Preferred Qualifications)

Experience building a new team, including defining roles, hiring, and setting team processes.
Experience delivering SDKs or libraries used by other engineering teams, including API design, versioning, and adoption support.
Experience integrating with or building control plane services (configuration retrieval, arbitration, persistence and fallback) and data plane pipelines (streaming and file based transfer).
Experience building fleet management, OTA, or remote configuration systems.
Experience developing software observability and logging components.
Experience designing driver or HMI initiated capture flows, such as create and upload data.
Knowledge of automotive cybersecurity controls and data protection processes.
Familiarity with cloud platforms (AWS, GCP, Azure) and their device management services (IoT Hub, IoT Core, Pub/Sub, or equivalent).
Exposure to OpenTelemetry, protobuf, gRPC, or similar observability and data plane technologies.
Contributions to or affinity for open source observability, logging, and data pipeline ecosystems, such as Fluent Bit.
Automotive domain familiarity: ECU architectures, SoC platforms, diagnostics, failure and crash analysis.

Compensation:

The salary range for this role is $147,000 to $196,600. 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.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you and your family.

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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More about this job

Responsibilities

Lead, hire, and develop a team of software engineers while setting technical direction for vehicle data platform components. Own the end-to-end delivery, operational accountability, and integration of software across Android, Linux, and QNX platforms.

Requirements

Requires a bachelor's degree in Computer Science or Engineering with at least 6 years of software development experience. Candidates must have 2+ years of management experience and proficiency in C, C++, or Java/Kotlin for platform-level integrations.

Skills

Software engineering management
C
C++
Java
Kotlin
Android
Linux
QNX
Data engineering
ECU development
System architecture
Performance management
Technical leadership
Cloud integration
Telemetry
Data governance

Benefits

Paid time off
Vacation days
Pregnancy leave
Parental leave
Adoption leave
Healthcare
Dental
Vision
Life insurance
Vehicle purchase plan

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering Manager
Vehicle Data Platform
Android
Linux
QNX
ECU
Control Plane
Data Plane
SDK
Telemetry
Cloud
Cybersecurity
Data Privacy
OpenTelemetry
Protobuf
gRPC
Fluent Bit
Automotive
SoC
Diagnostics
AWS
GCP
Azure
IoT Hub
OTA
Software Development
Systems Engineering
Performance Management
Architecture
Engineering Practices

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