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Jobs(26,676)/Systems Administrator Role(69)/Zyphra (1) - Machine Learning Systems Administrator / DevOps Engineer: Training Clusters & Inference Cloud
Zyphra

Zyphra - Machine Learning Systems Administrator / DevOps Engineer: Training Clusters & Inference Cloud

Remote - San Francisco, California, United States2w ago
RemoteNACloud ComputingArtificial IntelligenceSystems AdministratorMachine Learning EngineerLinuxPythonDockerKubernetesPrometheus

Requirements

• Experience with Linux system administration, user and access management, and automation • Demonstrated expertise in scripting languages for system tooling and automation (bash, Python, etc.) • Experience with containers (Docker) and scheduling/orchestration systems (Slurm, Kubernetes) • Experience running production services, including monitoring and alerting (e.g., Prometheus, Grafana), deployment pipelines, and incident response • Experience building tooling for cluster validation and reliability (accelerator, networking, and storage health checks) • Experience setting up and managing developer tools and third-party services (e.g., cloud storage providers, Docker Hub, Slack, Gmail, Telegraf, experiment trackers) • Excellent debugging and troubleshooting skills across compute, storage, and networking • Strong communication skills and ability to collaborate across technical and non-technical teams • Experience with infrastructure as code (e.g., Ansible, Terraform) • Prior work supporting ML/AI infrastructure, including GPU management and workload optimization • Experience deploying and operating LLM serving stacks (e.g., vLLM, SGLang, Ray) • Experience with multiple accelerator platforms (e.g., NVIDIA CUDA, AMD ROCm, TPUs) • Experience with high-performance networking (InfiniBand, RoCE) and distributed storage • Experience working with cloud platforms such as AWS, Azure, or GCP • Familiarity with Apptainer and with integrating containers into Slurm and Kubernetes

Benefits

• Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued • We strongly value new and crazy ideas and are very willing to bet big on new ideas • We move as quickly as we can; we aim to minimize the bar to impact as low as possible • We all enjoy what we do and love discussing AI • Comprehensive medical, dental, vision, and FSA plans • Competitive compensation and 401(k) plan • Relocation and immigration support on a case-by-case basis • In-office snacks and meals provided • Unlimited PTO and company holidays • In-person team in San Francisco with a collaborative, high-energy environment

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