Software Engineer, Internal Infrastructure

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October 9

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Cohere

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Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• 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

🎯 Requirements

• 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 • Bonus qualifications: • You've previously worked with ML training infrastructure and GPU workloads and have familiarity with RDMA networking • You have expertise to support and troubleshoot low level Linux systems • You have experience collaborating with research teams or machine learning engineers

🏖️ Benefits

• An open and inclusive culture and work environment • Work closely with a team on the cutting edge of AI research • Weekly lunch stipend, in-office lunches & snacks • Full health and dental benefits, including a separate budget to take care of your mental health • 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend • 6 weeks of vacation