Lead Member of Technical Staff, Inference Infrastructure

Cohere

Lead design of scalable machine learning systems for Cohere, shaping the next generation of AI platforms delivering language models. Provide technical leadership and mentor engineers in a collaborative environment.

Posted 4/28/2026full-timeRemote • California • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoGoogle Cloud PlatformKubernetesLinux

About the role

Key responsibilities & impact

Join the Model Serving team at Cohere and provide technical leadership across multiple teams
Drive the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments
Serve as a key point of contact for customers, leading the design of customized deployments to meet their specific needs
Mentor engineers to raise the technical bar across the team

Requirements

What you’ll need

8+ years of engineering experience running production infrastructure at a large scale, with a track record of technical leadership
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, including setting team-wide standards and best practices
Extensive experience across GCP, Azure, AWS, OCI, and multi-cloud on-prem / hybrid serving environments, with the ability to guide strategic infrastructure decisions
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, including optimisation strategies
Exceptional collaboration and communication skills, with experience mentoring engineers and leading cross-functional initiatives to build mission-critical systems
The grit and adaptability to both solve and guide others through complex technical challenges that evolve day to day
Strong expertise in the computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), and how to leverage them to drive latency and throughput improvements at scale
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, with the ability to set coding standards and conduct senior-level technical reviews

Benefits

Comp & perks

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!)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

KubernetesGolangC++LinuxNLP modelsdistributed systemsGPU workloadscloud infrastructurecost managementoptimisation strategies

Soft Skills

technical leadershipcollaborationcommunicationmentoringproblem-solvingadaptabilitycross-functional leadershipdesign leadershipcustomer engagementstrategic guidance