Skip to content
CohereCohereSan Francisco, CA

Staff Software Engineer, Inference Infrastructure

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.

Salary not listed
Hybrid5+ YOEML Engineering

About the role

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!)

Skills

KubernetesGCPAzureAWSOciGoC++LinuxGpusTpus

Similar roles

ML Engineering jobs
xAI

Member of Technical Staff

xAIPalo Alto, CA

Build and optimize the RL training framework and infrastructure for large-scale workloads at SpaceXAI, from ablations to production runs. Requires experience with distributed systems and proficiency in Python, JAX, Rust, or C++.

180k – 440k/yr
On-site5+ YOEML Engineering
Chime

Staff Software Engineer, AI & App Experience

ChimeNew York, NY +1

Staff Software Engineer building and scaling Jade, Chime's LLM-powered AI financial assistant. Sets technical direction for agent systems, evals, and guardrails while staying hands-on with prototyping, backend services, and cross-functional product delivery. Requires 8+ years production experience, deep AI/LLM fluency, and technical leadership.

223k – 308k/yr
Hybrid8+ YOEML Engineering
Anthropic

Staff + Senior Software Engineer, Cloud Inference Launch Engineering

AnthropicSan Francisco, CA

Build and own validation pipelines, CI/CD infrastructure, and platform integrations to launch frontier models and inference features reliably across AWS, GCP, and Azure. Requires strong large-scale distributed systems experience and track record improving release velocity.

320k – 485k/yr
Hybrid7+ YOEML Engineering
Coinbase

Senior Staff Software Engineer, Legal Automation

CoinbaseUnited States

Senior Staff Software Engineer building an AI agent platform and automated workflows to transform Coinbase's Legal organization. Architect production-grade LLM and multi-agent systems that replace manual legal processes such as agreement redlining and governance.

254k – 299k/yr
Remote12+ YOEML Engineering
Pinterest

Staff Machine Learning Engineer, Computer Vision

PinterestSan Francisco, CA

Staff Machine Learning Engineer developing state-of-the-art visual encoders and multimodal models at Pinterest Labs. Prototype visual reasoning tools, train billion-scale models on rich visual-text data, ship to production for recommender systems and VLMs, publish research, and mentor juniors. Requires strong CV/ML background, publications, and PhD or equivalent.

189k – 390k/yr
Hybrid7+ YOEML Engineering