# Staff Software Engineer, Inference Infrastructure

**Company:** [Cohere](https://hotfix.jobs/companies/cohere)
**Location:** San Francisco, CA, New York, NY
**Role:** ML Engineering
**Experience:** 5+ years
**Skills:** Kubernetes, GCP, Azure, AWS, Oci, Go, C++, Linux, Gpus, Tpus
**Posted:** 2026-01-12

> Build and operate high-performance inference infrastructure for large language models, deploying optimized NLP models to production with low latency and high throughput using Kubernetes and cloud platforms. Requires 5+ years experience in scalable distributed systems and GPU workloads.

## Job Description

## 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. 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!

**Full-Time Employees at Cohere enjoy these Perks:**
- Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
- 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
- 6 weeks of vacation (30 working days!)


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