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).

Benefits

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!)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

NLP modelsKubernetesGCPAzureAWSOCILinux-based computing environmentsGolangC++distributed systems

collaborationtroubleshootingadaptabilityproblem-solvingteamwork