Staff Software Engineer, Inference Infrastructure

Cohere

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

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 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 Coheres large language models through easy to use API 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 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.

Full-Time 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 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!)


Required Experience:

Staff IC

Who are weOur 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 th...
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About Company

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Deploy multilingual models, advanced retrieval, and intelligent agents securely and privately — without the risks of ordinary AI.

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