Requirements

Bachelor's or Master's Degree in Computer Science, Computer Engineering, Data Science, Data Engineering, Mechatronics, Robotics, Mechanical Engineering, Electrical Engineering, or a related field.

Graduated or will be graduating between January 2026 and May 2027.

Able to work full time, 40 hours per week.

Experience with C, C++, or a related language through coursework, internships, or personal projects.

Exposure to Linux, Android, or QNX platforms.

Foundational understanding of distributed systems, configuration management, or data pipelines.

Familiarity with vehicle communication protocols (UDS, CAN, SOME/IP, XCP) or Autosar standards.

Understanding of network communication and security protocols, including mTLS and certificate-based device identity.

Familiarity with cloud platforms (AWS, GCP, Azure) and device management services.

Familiarity with OpenTelemetry.

Experience with Firestore.

Exposure to CI/CD pipelines and automation tools.

Internship or project experience with fleet management, OTA, or remote configuration systems, or contributions to Fluent Bit or other data-intensive open source projects.

Must not require sponsorship to work in Canada now or in the future.

Core Competencies Demonstrates expertise in designing and maintaining on-vehicle control and data planes, with a strong foundation in cloud platforms and vehicle communication protocols. Proficient in C/C++ programming and familiar with distributed systems, configuration management, and data pipelines.

Highest-signal resume keywords

C/C++ Programming





Cloud Platforms (AWS, Azure, GCP)

Vehicle Communication Protocols (UDS, CAN, SOME/IP, XCP)

Distributed Systems

Configuration Management

ATS Optimization Keywords Hard Skills

C Programming

C++ Programming

Linux

Android

QNX

OpenTelemetry

Firestore

CI/CD Pipelines

Data Pipelines

Configuration Management

Industry Keywords

Embedded Systems

Vehicle ECUs

OTA

Remote Configuration

Autosar Standards

Tools & Technologies

Azure

AWS S3

Firestore

DevOps

Fleet Monitoring

Design, implement, and maintain the on-vehicle control plane that retrieves cloud configuration and applies it across vehicle ECUs. Design, implement, and maintain the on-vehicle data plane that collects, processes, and forwards vehicle-system data to cloud storage. Optimize control and data planes for reliable data egress and configuration delivery over intermittent connectivity, rapid configuration convergence, and minimal CPU and memory usage. Work with Azure, AWS S3, and Firestore for configuration delivery, device state reporting, and data egress. Collaborate with DevOps and Cloud teams to safely roll out on-vehicle software and configuration. Instrument software with observability for fleet monitoring, production diagnosis, and source-level issue resolution. Contribute to the open source community through issue reporting, documentation, and patches. Receive direct mentorship from senior engineers while building, testing, and maintaining embedded control and data-plane infrastructure.

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📌 Early Career Software Developer – Embedded Software (Winnipeg)
🏢 Jobtailor
📍 Winnipeg