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Added 6 mins ago
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Closed listing

General Motors

Senior Software Engineering - Data Device Capture SDK

Oshawa, ON, Canada
Markham, ON, Canada

Pay: The salary range for this role is $115,000 to $164,600.
Job type: Full-time
Posting language: English
Posted: Sep 23, 2026

This opening has closed.

The original listing is kept below for reference.

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Original job description

Archived listing. The details below describe a past opening.

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 building a unified, scalable Vehicle Observability Data Architecture to deliver consistent, secure, high-fidelity data from vehicle ECUs to the cloud. We're seeking a Senior Device Data Capture SDK 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).

In this role you'll evolve the embedded Device Data Capture (DDC) SDK. The SDK is our shared, OpenTelemetry-based library and the common integration path for all application teams across the vehicle software stack. That means more than emitting telemetry: you'll work on the remote configuration and data governance that determines what gets collected, at what granularity, and under whose control, so telemetry volume and data-governance policy can be managed fleet-wide without rebuilding applications.

The ideal candidate brings deep embedded expertise in C/C++ and a track record of delivering Automotive or similar safety critical software. You will deliver an SDK targeting Android, Linux, and QNX. This will require hands-on experience scaling observability data flows from ECU to cloud. You're comfortable operating under tight resource constraints on production ECUs, and rigorous around reliability, performance, and data privacy. Equally important, you can partner across platform teams, driving integration, alignment, and adoption well beyond your own codebase as an integral part of a new and energetic team.

What You'll Do (Responsibilities)

SDK Design & Platform Delivery

Design and evolve the DDC SDK's public API surface (the contracts application teams build against), owning decisions on abstraction boundaries, backward compatibility, and versioning
Define and implement observability software across Android Automotive, Linux, and QNX, including platform wrappers, packaging, and build-system support for consumers on differing toolchains
Sustain the library in production, triage and resolve defects reported by integrating teams, maintain existing features across platform releases, and manage the deprecation path when interfaces must change

Control Plane Integration

Build and extend configuration retrieval, validation, arbitration, and persistence with fallback to last-known-good
Extend the remote configuration and governance model, instance-level and global controls, precedence and resolution logic that let telemetry volume and data-governance policy be enforced fleet-wide without rebuilding application artifacts

Data Plane Integration

Specify and implement delivery behaviors that stay dependable under varying connectivity and resource conditions

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

Reliability, Performance & Security

Implement runtime controls to enable and disable observability data at the granularity integrators and platform owners each need
Benchmark and tune footprint, CPU, and throughput on target hardware under production resource constraints
Ensure compliance with cybersecurity and data-protection requirements for local and remote access to observability data, including declaring emitted metrics and traces for certification and keeping sensitive data out of telemetry

Integration & Adoption

Partner directly with integrating platform teams to scope requirements, unblock integration, evaluate implementation options, and drive adoption of the DDC SDK over one-off wrappers
Contribute to roadmap planning across upcoming platform releases, balancing integrator requests against long-term library direction

Quality, Documentation & Testing

Lead code, design, and test case reviews, operate autonomously on ambiguous problems, and mentor others on the team
Own verification end to end: unit and integration testing, plus validation on bench and vehicle ahead of release
Shepherd changes through release and change-review governance with required approvals, passing quality gates, and test evidence in hand
Produce integration guides, configuration references, design documents, and operational runbooks that let teams onboard without hand-holding
Lead code and design reviews, operate autonomously on ambiguous problems, and mentor engineers on the team

Your Skills & Abilities (Required Qualifications)

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
5+ years in embedded software development or systems engineering across Android, Linux, and/or QNX
Strong coding proficiency in modern C/C++, with a track record of platform-level integration work
Experience designing and maintaining libraries, SDKs, or APIs consumed by other engineering teams, including versioning and backward-compatibility decisions
Working knowledge of OpenTelemetry or comparable instrumentation frameworks (metrics, traces, logs)
Experience designing telemetry for operational visibility and remote control at fleet scale
Developing production resource constrained software, CPU, memory, and throughput on target hardware
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)
Android Automotive platform experience, including Java/Kotlin and JNI boundaries between native and managed layers
Cross-platform build and packaging experience across toolchains such as CMake, Bazel, Yocto, or the Android NDK
Familiarity with protobuf / gRPC or similar data-plane serialization and transport technologies
Knowledge of automotive cybersecurity controls and data-protection or privacy-certification processes
Contributions to or strong affinity for open-source observability and telemetry ecosystems
Automotive domain familiarity: ECU architectures, SoC platforms, diagnostics, failure and 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.

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.

About employer

More about this job

Responsibilities

You will design and evolve the Device Data Capture SDK to enable unified, scalable vehicle observability data architecture across Android, Linux, and QNX platforms. This involves managing data pipelines, remote configuration, and data governance while partnering with platform teams to drive integration and adoption.

Requirements

The role requires a bachelor's degree in Computer Science or Engineering and at least 5 years of experience in embedded software development. Candidates must possess strong proficiency in modern C/C++ and experience with platform-level integration and observability frameworks.

Skills

C++
C
Embedded software development
Android
Linux
QNX
OpenTelemetry
SDK design
API development
Telemetry
Data governance
System engineering
Performance tuning
Cybersecurity
Cross-team collaboration

Benefits

Paid time off
Pregnancy, parental and adoption leave
Healthcare
Dental
Vision
Life insurance
GM vehicle purchase plan

Visa sponsorship

Not detected in the job text

Keywords

Embedded Software
SDK
API
C++
C
Android Automotive
Linux
QNX
OpenTelemetry
Telemetry
Data Governance
ECU
Vehicle Observability
CMake
Bazel
Yocto
Android NDK
Protobuf
gRPC
Cybersecurity
Data Privacy
Systems Engineering
Cloud
Performance Benchmarking
Software Architecture

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