Summary Our client is a small team with big dreams, and a leadership team with the technical expertise and business experience to deliver. Their solutions combine machine learning, hardware design, and software development tools, so they have need for a wide range of skills and looking for people who want to work where their individual contribution makes a real impact. If you think you can help design, build, test, package, explain, or sell machine learning solutions for edge devices, they may have a place for you to do just that.

Essential Duties and Responsibilities · Develop and support automated Test and Release infrastructure and tools with strong emphasis on efficiency, stability, scalability, and smart resource management · Integrate with highly efficient and scalable machine learning (ML) development flows, tools and infrastructure · Collaborate with other teams in the organization to ensure successful deployment, maintenance, and support of the same · Design, build and maintain software & services to best exploit performance on modern GPU accelerated desktop,



server and cloud environments • Support internal partners and customers to achieve predictable and high-quality continuous releases.

Required Skills • A BS, MS, or PhD degree from a leading university in an engineering or computer science related discipline • 5+ years of qualified software development experience • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems • Solid coding skills in Ruby or Python (Python preferred, although open to alternative scripting languages) • Strong Knowledge of continuous integration, continuous delivery methodologies • Solid understanding of clean code principles and clean software design Preferred Skills • Experience with Jenkins, Kubernetes, Kubeflow or similar • Experience in automating ML and AI training infrastructure • Experience with distributed GPU/CPU server and cloud solutions from AWS, GCP, Azure • Experience using and integrating with the Atlassian suite of products. The company provides competitive compensation and an innovative work environment advancing ML and semiconductor technologies.

📌 DevOps Engineer – Vancouver (Remote) *Hold*
🏢 Corporate Recruiters
📍 Vancouver