Senior Embedded Software Engineer

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: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum

The Role:

The Data Engineering organization at General Motors Canada is developing a unified, scalable Vehicle Observability Data Architecture to enable consistent, secure, and high‑fidelity data from vehicle ECUs to the cloud. We’re seeking a Senior Embedded Software Engineer to design and integrate embedded data pipelines across diverse in‑vehicle platforms, ensuring cohesive interaction between the control plane (configuration, arbitration, lifecycle) and the data plane (streaming telemetry and file‑based transfer). The ideal candidate brings deep embedded expertise in C/C++ and Android, a track record of delivering solutions across Android Automotive, Linux, and QNX, and hands‑on experience scaling observability data flows from ECU to cloud while meeting strict reliability, performance, and security requirements.

What You'll Do (Responsibilities)

• Own and develop software solutions as part of a larger team; leading and participating in feature development, maintenance of existing features, and bug fixes

• Lead and participate in code, and test case reviews

• Conduct software verification (unit, and integration testing as needed)

• Provide clear and complete documentation per the software development process

• Collaborate with team members through Scrum/Agile

• Take ownership of each project, make design and implementation decisions autonomously, and mentor junior members

• Be an integral part of a new and energetic team

Embedded Observability Infrastructure

• Define and implement observability SW across Android, Linux, and QNX

• Support vehicle‑local data access mechanisms (e.g., USB‑based retrieval) when connectivity is limited

Control Plane Integration

• Build/extend Libraries to handle configuration retrieval, validation, arbitration, and persistence/fallback to last‑known‑good

• Define API contracts for library integrations

Data Plane Integration

• Specify behaviors to ensure dependable delivery under varying connectivity and resource conditions.

Reliability, Performance & Security

• Implement runtime controls to enable/disable observability data

• Ensure compliance with cybersecurity and data‑protection requirements for local and remote access to observability data

Standards, Documentation & Collaboration

• Produce clear design documents, configuration guides, and support operational runbooks

• Collaborate closely with embedded platform teams, observability/data engineering, product, and validation to deliver end‑to‑end data flows from ECU to cloud

Your Skills & Abilities (Required Qualifications)

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

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

• Strong coding proficiency in C/C++ and Android Java with experience in platform‑level integrations.

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

• Clear, concise technical communication; strong cross‑team collaboration and design documentation skills.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Experience integrating with control plane services (configuration retrieval, arbitration, persistence/fallback) and data plane pipelines (streaming and file‑based transfer).

• Experience developing SW Observability components

• Experience designing driver/HMI‑initiated capture flows (e.g., create/upload data).

• Knowledge of automotive cybersecurity controls and data‑protection processes.

• Exposure to OpenTelemetry, protobuf/gRPC, or similar observability/data‑plane technologies.

• Contributions to or strong affinity for open‑source observability/logging ecosystems.

• Automotive domain familiarity: ECU architectures, SoC platforms, diagnostics, failure/crash analysis

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;

• 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, 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.

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