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.

as part of the application process, artificial intelligence will be used in the hiring process for this role.

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

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.

• 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

• 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

• build/extend libraries to handle configuration retrieval, validation, arbitration, and persistence/fallback to last‑known‑good
• define api contracts for library integrations

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

• implement runtime controls to enable/disable observability data
• ensure compliance with cybersecurity and data‑protection requirements for local and remote access to observability data

• 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

• 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

• 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

the salary range for this role is $115,000 to $164,600. The actual…