Embedded Logging Software Developer
Job Description & How to Apply Below
Job description
Vacancy status: this posting is not 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 logging architecture to enable consistent, secure, and high‑fidelity logging from vehicle ecus to the cloud. We’re seeking a staff embedded logging software developer to design and integrate embedded logging 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 log data flows from ecu to cloud while meeting strict reliability, performance, and security requirements.
What you’ll do (responsibilities)
Embedded platform logging
Define and implement platform log client behaviors across android, linux, and qnx.
Manage volatile buffers and persistent storage (log files and packages), including rotation, compression, retention, and quotas.
Support vehicle‑local data access mechanisms (e.g., usb‑based retrieval) when connectivity is limited.
Control plane integration
Build or extend a log control interface library to handle configuration retrieval, validation, arbitration (including ttl for local overrides), and persistence/fallback to last‑known‑good.
Implement interactions between vehicle log control logic, platform clients, and configuration providers.
Define api contracts for configuration updates, log control, and create/upload package triggers; align with in‑vehicle ux/hmi flows.
Data plane integration
Design and operate reliable egress paths for log streaming and file‑based transfer of high‑fidelity artifacts (binary logs, crash dumps, multi‑file log packages).
Specify behaviors to ensure dependable delivery under varying connectivity and resource conditions.
Reliability, performance & security
Implement runtime controls to enable or disable logging subsystems locally and remotely.
Establish startup sequencing and resource budgets (cpu, memory, flash) that safeguard real‑time and safety‑critical workloads.
Ensure compliance with cybersecurity and data‑protection requirements for both local and remote access to log settings and log data.
Standards, documentation & collaboration
Champion consistent logging schemas, naming, and formatting across platforms; drive structured logging best practices.
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.
8+ 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.
Demonstrated experience integrating with control plane services (configuration retrieval, arbitration, persistence/fallback) and data plane pipelines (streaming and file‑based transfer).
Hands‑on experience with file management workflows, file rotation/compression, retention, and storage quotas.
Hands‑on experience with logger ecosystems (e.g., android logs, qnx slogger2, linux journal/syslog) and buffer/file management at scale.
Deep understanding of ecu constraints: startup sequencing, cpu/memory/flash budgets, and contention mitigation.
Familiarity with structured logging guidelines and driving cross‑team compliance.
Experience designing metrics and telemetry for operational visibility and remote control at fleet scale.
Cle…
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