Senior Embedded Logging Software Developer

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 Logging 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 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.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. 

Non-Discrimination and Equal Employment Opportunities (U.S.)

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.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

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

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