Job Title

Who are we? Our mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do whats best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this team? The internal infrastructure team is responsible for building worldclass 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 superclusters across multiple clouds. Your work will directly accelerate the development of industryleading AI models that power Cohere''''s platform North. Were hiring software engineers at multiple levels. Whether youre early in your career or a seasoned staff engineer, youll find opportunities to grow and make an impact here. Please Note: All of our infrastructure roles require participating in a 24x7 oncall rotation, where you are compensated for your oncall schedule. As a Staff Software Engineer, you will: Build and scale MLoptimized HPC infrastructure: Deploy and manage Kubernetesbased GPU/TPU superclusters across multiple clouds, ensuring high throughput and lowlatency performance for AI workloads. Optimize for AI/ML training: Collaborate with cloud providers to finetune infrastructure for cost efficiency, reliability, and performance, leveraging technologies like RDMA, NCCL, and highspeed interconnects. Troubleshoot and resolve complex issues: Proactively identify and resolve infrastructure bottlenecks, performance degradation, and system failures to ensure minimal disruption to AI/ML workflows. Enable researchers with selfservice tools: Design intuitive interfaces and workflows that allow researchers to monitor, debug, and optimize their training jobs independently. Drive innovation in ML infrastructure: Work closely with AI researchers to understand emerging needs (e.g., JAX, PyTorch, distributed training) and translate them into robust, scalable infrastructure solutions. Champion best practices: Advocate for observability, automation, and infrastructureascode (IaC) across the organization, ensuring systems are maintainable and resilient. Mentorship and collaboration: Share expertise through code reviews, documentation, and crossteam collaboration, fostering a culture of knowledge transfer and engineering excellence. You may be a good fit if you have: Deep expertise in ML/HPC infrastructure: Experience with GPU/TPU clusters, distributed training frameworks (JAX, PyTorch, TensorFlow), and highperformance computing (HPC) environments. Kubernetes at scale: Proven ability to deploy, manage, and troubleshoot cloudnative Kubernetes clusters for AI workloads. Strong programming skills: Proficiency in Python (for ML tooling) and Go (for systems engineering), with a preference for opensource contributions over reinventing solutions. Lowlevel systems knowledge: Familiarity with Linux internals, RDMA networking, and performance optimization for ML workloads. Research collaboration experience: A track record of working closely with AI researchers or ML engineers to solve infrastructure challenges. Selfdirected problemsolving: The ability to identify bottlenecks, propose solutions, and drive impact in a fastpaced environment. If some of the above doesnt line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. FullTime Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, inoffice lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave topup for up to 6 months Personal enrichment benefits towards arts and culture, fitness and wellbeing, quality time, and workspace improvement Remoteflexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a coworking stipend 6 weeks of vacation (30 working days!) #J-18808-Ljbffr