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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 highfidelity logging from vehicle ECUs to the cloud. Were seeking a Staff Embedded Logging Software Developer to design and integrate embedded logging pipelines across diverse invehicle platforms, ensuring cohesive interaction between the control plane (configuration, arbitration, lifecycle) and the data plane (streaming telemetry and filebased 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 handson experience scaling log data flows from ECU to cloud while meeting strict reliability, performance, and security requirements. What Youll 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 vehiclelocal data access mechanisms (e.g., USBbased retrieval) when connectivity is limited. Control Plane Integration Build/extend a Log Control Interface Library to handle configuration retrieval, validation, arbitration (including TTL for local overrides), and persistence/fallback to lastknowngood. 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 invehicle UX/HMI flows. Data Plane Integration Design and operate reliable egress paths for Log Streaming and Filebased transfer of highfidelity artifacts (binary logs, crash dumps, multifile log packages). Specify behaviors to ensure dependable delivery under varying connectivity and resource conditions. Reliability, Performance & Security Implement runtime controls to enable/disable logging subsystems locally and remotely. Establish startup sequencing and resource budgets (CPU, memory, flash) that safeguard realtime and safetycritical workloads. Ensure compliance with cybersecurity and dataprotection 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 endtoend data flows from ECU to cloud. Your Skills & Abilities (Required Qualifications) Bachelors 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 platformlevel integrations. Demonstrated experience integrating with control plane services (configuration retrieval, arbitration, persistence/fallback) and data plane pipelines (streaming and filebased transfer). Handson experience with: File management workflows; file rotation/compression, retention, and storage quotas. 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 crossteam compliance. Experience designing metrics/telemetry for operational visibility and remote control at fleet scale. Clear, concise technical communication; strong crossteam collaboration and design documentation skills. What Can Give You a Competitive Advantage (Preferred Qualifications) Experience designing driver/HMIinitiated capture flows (e.g., create/upload log packages). Knowledge of automotive cybersecurity controls and dataprotection processes. Exposure to OpenTelemetry, protobuf/gRPC, or similar observability/dataplane technologies. Contributions to or strong affinity for opensource observability/logging ecosystems. Automotive domain familiarity: ECU architectures, SoC platforms, diagnostics, failure/crash analysis. Compensation The salary range for this role is $147,000 to $196,600. 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 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. #J-18808-Ljbffr