
11 - 50 employés
Fondée en 2022
🤖 Intelligence artificielle
📚 Éducation
🤝 À but non lucratif
Artificial Intelligence • Education • Non-profit
Ashby Electrical Limited est une entreprise d’électricité fondée en 2018, spécialisée dans la fourniture de solutions électriques économiques et durables pour des projets résidentiels et tertiaires. L’entreprise se distingue par la qualité de ses prestations tout au long du cycle de vie des projets, incluant la conception, l’installation, les essais et la mise en service. Ashby Electrical s’engage à bâtir des relations solides avec ses clients, fondées sur la confiance, l’intégrité et le professionnalisme, afin de livrer des projets dans les délais et dans le respect des budgets.
🕒 il y a 1 mois
🗣️🇺🇸🇬🇧 Anglais requis
D'où vient cette offre
Publiée sur la page carrières de FAR.AI, pas via un site d'emploi
Repérée par Remote Rocketship il y a 1 mois
Toujours ouverte sur le site de FAR.AI. Vérifiée il y a 8 heures.

11 - 50 employés
Fondée en 2022
🤖 Intelligence artificielle
📚 Éducation
🤝 À but non lucratif
Artificial Intelligence • Education • Non-profit
Ashby Electrical Limited est une entreprise d’électricité fondée en 2018, spécialisée dans la fourniture de solutions électriques économiques et durables pour des projets résidentiels et tertiaires. L’entreprise se distingue par la qualité de ses prestations tout au long du cycle de vie des projets, incluant la conception, l’installation, les essais et la mise en service. Ashby Electrical s’engage à bâtir des relations solides avec ses clients, fondées sur la confiance, l’intégrité et le professionnalisme, afin de livrer des projets dans les délais et dans le respect des budgets.
• Set the platform's technical direction and own its roadmap • Decide which systems to run, how to schedule and store across providers, and what to measure • Own architecture and scheduling and storage design • Debug failures across layers, including node health, GPU and fabric faults, and multi-node job hangs • Hire and grow a small team of senior engineers • Set priorities and ownership, scope projects, and provide regular feedback and coaching • Set security direction for a shared cluster where AI agents run experiments, including identity and access, workload isolation, and sandboxing • Define operations including on-call rotation, incident response, postmortems, fault tolerance, and observability • Participate in operational practices alongside the team • Serve as escalation point for research teams and infrastructure providers • Turn recurring problems into platform fixes • Work directly with researchers and engineers to keep large-scale experiments performant and fault-tolerant
• Experience leading engineers as a manager, tech lead, or project lead, including setting technical direction, scoping work, and giving feedback • Desire to manage people directly; prior direct reports are not required • 5+ years of systems or infrastructure engineering experience on production Linux • Experience running GPU, HPC, or large-scale batch platforms • Experience owning systems from design through operation • Depth in at least one of scheduling, storage, networking, security, or GPU systems, with enough breadth to review designs in the others • Experience running production Kubernetes for GPU workloads with a batch layer such as Slurm, Kueue, or Volcano, including quotas, priority and preemption, and node health • Experience owning infrastructure as code and observability for a production fleet • Experience with Terraform or Ansible, Helm, ArgoCD, and Prometheus, or equivalents • Strong programming ability in Python, Go, Rust, C++, or another language commonly used for infrastructure • Clear technical writing for engineers, researchers, and providers • Additional desirable skills include distributed training infrastructure, distributed storage, cluster security, scheduler internals, multi-provider platforms, and greenfield team-building
• Health insurance: 94% of insurance premium paid by the organization, commencing within 1 month after start date • 401(k) plan with up to 2% match • 25 days paid time off per year, accrued weekly • Up to 10 days of paid sick leave per year • Paid bereavement, family, medical, and pregnancy disability leave • Work computer and WFH stipend provided for eligible employees • Catered lunches and dinners on workdays at the Berkeley office • Visa sponsorship for in-person employees • Paid work trial lasting up to 1 week
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