Staff Embedded Logging Software Developer

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.

• 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.

• Build/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.

• Design and operate reliable egress paths for:
• Log Streaming
• 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.

• Implement runtime controls to enable/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.

• 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.

• 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:
  
  o File management workflows; file rotation/compression, retention, and storage quotas.
  
  o 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/telemetry for operational visibility and remote control at fleet scale.
• Clear, concise technical communication; strong cross-team collaboration and design documentation skills.

• Experience designing driver/HMI-initiated capture flows (e.g., create/upload log packages).
• 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

• 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, your family and friends.