Intermediate Developer building and integrating secure enterprise applications for British Columbia’s energy regulator. Supporting Agile delivery, troubleshooting, testing, and continuous technology improvement.
About the role
- Senior Yocto Engineer developing secure embedded Linux distributions for Litmus Edge. Integrating ARM hardware, OTA updates, and containerized applications for industrial AI.
Responsibilities
- Develop, maintain, and secure Litmus Edge, the company’s industrial edge computing platform built using the Yocto Project
- Design, develop, and maintain embedded Linux distributions using the Yocto Project
- Create, extend, and manage Yocto packages while ensuring platform stability and maintainability
- Develop and support secure validation processes to enhance system integrity and resilience
- Build and maintain Over-the-Air (OTA) update mechanisms for reliable software deployment and upgrades
- Configure, integrate, and deploy software on ARM-based hardware platforms using BSPs
- Use Docker and Kubernetes to deploy and manage containerized edge applications
- Collaborate with hardware, platform, and application teams to troubleshoot complex integration challenges
- Analyze, debug, and optimize system performance, reliability, and scalability
- Contribute to software development best practices, automation, and continuous improvement initiatives
- Stay current with embedded Linux, Yocto, containerization technologies, and edge computing
- Use AI-powered tools and technologies to improve engineering productivity and accelerate delivery outcomes
Requirements
- 5+ years of experience in Linux software engineering with a strong focus on embedded systems
- Deep hands-on expertise with the Yocto Project, including custom image creation, package management, and build system customization
- Strong experience with embedded Linux development, kernel configuration, debugging, and system integration
- Experience working with ARM-based platforms and Board Support Packages (BSPs)
- Hands-on knowledge of Docker and Kubernetes in production or edge computing environments
- Experience designing or maintaining OTA update frameworks and deployment systems
- Strong programming skills in C/C++ and scripting languages such as Python and Bash
- Proficiency with Git and CI/CD tools and workflows
- Awareness of Generative AI and AI Agents, with the ability to leverage AI tools to improve engineering efficiency and deliverables
- Excellent analytical, problem-solving, communication, and collaboration skills
- Experience building and maintaining RHEL packages (RPM) — nice to have
- Knowledge of secure boot, platform validation, and security-focused software development practices — nice to have
- Experience working in Industrial IoT, Industry 4.0, or edge computing environments — nice to have
- Familiarity with Real-Time Operating Systems (RTOS) — nice to have
- Understanding of networking protocols, cybersecurity, and device security — nice to have
- Contributions to open-source projects or active participation in the open-source community — nice to have
- Practical experience implementing AI-driven solutions or automation within engineering projects — nice to have
- Must be able to work from the Toronto, Ontario or Santa Clara, California office at least three days per week
- Visa sponsorship is not offered at this time
Benefits
- Direct impact on product and company trajectory
- Ownership and visibility in a scaling company
- Collaborative, curious, low-ego team culture
- Opportunity to build infrastructure for industrial AI
- Opportunity to work on systems used by real customers in production
- Professional growth through work with experienced engineers, operators, and leaders
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Degree requirement
No Education Requirement
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