Lead Member of Technical Staff, Inference Infrastructure

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! In this role, you will provide technical leadership across multiple teams, driving the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments.

Requirements

• 8+ years of engineering experience running production infrastructure at a large scale
• Demonstrated experience leading the architecture and design of large, highly available distributed systems with Kubernetes and GPU workloads on those clusters
• Deep expertise with Kubernetes dev and production coding and support
• Extensive experience across GCP, Azure, AWS, OCI, and multi-cloud on-prem / hybrid serving environments
• Proven ability to lead the design, deployment, support, and troubleshooting of complex Linux-based computing environments at scale
• Experience owning compute/storage/network resource and cost management at an organisational level
• Exceptional collaboration and communication skills, with experience mentoring engineers and leading cross-functional initiatives
• Strong expertise in the computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators)
• Deep knowledge of distributed systems, with experience establishing patterns and practices across engineering teams
• Proficiency in Golang, C++ or other languages designed for high-performance scalable servers

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 up to 6 months
• 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 (30 working days!)

Originally posted on Himalayas