Senior Embedded Logging Software Developer

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. 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 open telemetry, 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…