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Staff Software Engineer, Inference Infrastructure

Role overview

Qualifications

  • 5+ years of engineering experience running production infrastructure at a large scale
  • Experience designing large, highly available distributed systems with Kubernetes and GPU workloads on those clusters
  • Experience with multi-cloud (GCP, Azure, AWS, OCI) and on-prem / hybrid serving
  • Experience in compute/storage/network resource and cost management

Responsibilities

  • Develop, deploy, and operate Cohere's AI platform delivering large language models through easy-to-use API endpoints with low latency, high throughput, and high availability
  • Design, deploy, troubleshoot, and optimize production infrastructure for GPU-enabled NLP models at scale
  • Collaborate with cross-functional teams and interface with customers to deliver customized deployments and performance tuning
  • Ensure operational excellence through monitoring, incident response, capacity planning, and cost management in distributed systems

About the company

Cohere logo

Cohere

Cohere, a leading pioneer in language AI, empowers every developer and business to build incredible products with world-leading natural language processing (NLP) technology while keeping their data private and secure. Cohere enables businesses of all sizes to explore, generate, and search for information in a new way that’s more intuitive and more natural than ever before.

Company details

Company typeScaleup
Industry
Company size51 - 200

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Job description

Who are we?

Our mission is to scale intelligence to serve humanity. We’re 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 what’s 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 role?

Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.

You may be a good fit if you have:

  • 5+ years of engineering experience running production infrastructure at a large scale

  • Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters

  • Experience with Kubernetes dev and production coding and support

  • Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving

  • Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments

  • Experience in compute/storage/network resource and cost management

  • Excellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork

  • The grit and adaptability to solve complex technical challenges that evolve day to day

  • Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference.

  • Strong understanding or working experience with distributed systems.

  • Experience in Golang, C++ or other languages designed for high-performance scalable servers).

If some of the above doesn’t 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.

Full-Time Employees at Cohere enjoy these Perks:

🀝 An open and inclusive culture and work environment 

πŸ§‘β€πŸ’» 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

πŸ™ 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!)

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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