Site Reliability Engineer – Inference Infrastructure

🕒 Janeiro 13

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Cohere

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

A Cohere é uma plataforma de IA líder, fornecendo às empresas modelos de linguagem avançada e um espaço de trabalho integrado projetado para eficiência e segurança. Com uma família de modelos generativos e de recuperação de alto desempenho, a Cohere permite que as organizações simplifiquem fluxos de trabalho, melhorem a segurança dos dados e descubram insights em diversas indústrias por meio de capacidades multilingues. Seu foco em soluções de IA personalizadas garante a proteção de dados críticos, facilitando a integração perfeita nos processos organizacionais existentes.

Descrição

• Build self-service systems that automate managing, deploying and operating services. • This includes our custom Kubernetes operators that support language model deployments. • Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems. • Take steps required to ensure we hit defined SLOs, including participation in an on-call rotation. • Build strong relationships with internal developers and influence the Infrastructure team’s roadmap based on their feedback. • Develop our team through knowledge sharing and an active review process.

🎯 Requisitos

• 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).

🏖️ Benefícios

• 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!)