Staff Software Engineer (Inference Infrastructure)

• 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

Benefits

• Six weeks’ paid vacation
• Equity / stock options
• RRSP, 401(k), and Pension Scheme contributions
• Coverage for 100% of your insurance premiums across health, dental, vision, and travel
• Additional coverage for accessing mental health providers/services
• Six months of fully paid parental leave, including adoption and surrogacy
• Financial support for egg freezing and IVF in Canada and the UK
• A monthly fitness and wellness allowance
• Globally dispersed company that supports a remote work culture
• A $2,000 annual education benefit for professional development
• A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
• A monthly arts and culture allowance
• A monthly quality time allowance

• 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?
• Strong understanding or working experience with distributed systems
• 5+ years of engineering experience running production infrastructure at a large scale
• Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving
• 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
• Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters
• Experience in Golang, C++ or other languages designed for high-performance scalable servers)
• Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference
• Experience in compute/storage/network resource and cost management
• Experience with Kubernetes dev and production coding and support
• If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
• Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments