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.

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 up-to-date GPU accelerated desktop, server and cloud environments • Support internal partners and customers to achieve predictable and high-quality continuous releases. A BS, MS, or PhD degree from a leading university in an engineering or computer science related discipline • 5+ years of professional software development experience • Solid coding skills in Ruby or Python (Python preferred, although open to alternative scripting languages) • Solid understanding of clean code principles and clean software design Experience in automating ML and AI training infrastructure • Experience with distributed GPU/CPU server and cloud solutions from AWS, GCP, Azure • The company provides competitive compensation and an innovative work environment advancing ML and semiconductor technologies. #

📌 DevOps Engineer - Vancouver (Remote) *Hold* (Quebec City)
🏢 Corporate Recruiters
📍 Quebec City