Job Description 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 professional 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.
#J-18808-LjbffrDevOps Engineer – Vancouver (Remote) *Hold* • Vancouver, Metro Vancouver Regional District, Canada
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