Software Engineer, Cohere

• Have deep experience running Kubernetes clusters at scale and/or scaling and troubleshooting Cloud Native infrastructure, including Infrastructure as Code
• Have strong programming skills in Go or Python
• Prefer contributing to Open Source solutions rather than building solutions from the ground up
• Are self-directed and adaptable, and excel at identifying and solving key problems
• Draw motivation from building systems that help others be more productive
• See mentorship, knowledge transfer, and review as essential prerequisites for a healthy team
• Have excellent communication skills and thrive in fast-paced environments

Desirable

• The internal infrastructure team is responsible for building world-class infrastructure and tools used to train, evaluate and serve Cohere's foundational models
• By joining our team, you will work in close collaboration with AI researchers to support their AI workload needs on the cutting edge, with a strong focus on stability, scalability, and observability
• You will be responsible for building and operating Kubernetes GPU superclusters across multiple clouds
• Your work will directly accelerate the development of industry-leading AI models that power Cohere's platform North
• We’re hiring software engineers at multiple levels
• Whether you’re early in your career or a seasoned staff engineer, you’ll find opportunities to grow and make an impact here
• Please Note: All of our infrastructure roles require participating in a 24x7 on-call rotation, where you are compensated for your on-call schedule
• Build and operate Kubernetes compute superclusters across multiple clouds
• Partner with cloud providers to optimize infrastructure costs, performance, and reliability for AI workloads
• Work closely with research teams to understand their infrastructure needs and identify ways to improve stability, performance, and efficiency of novel model training techniques
• Design and build resilient, scalable systems for training AI models, focusing on creating intuitive user interfaces that empower researchers to self-serve to troubleshoot and resolve problems
• Encourage software best practices across our company and participate in team processes such as knowledge sharing, reviews, and on-call