Forward Deployed Infrastructure Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 25%

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Hyperbolic

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS • Cloud Computing

Hyperbolic is a company that provides accessible, affordable, and scalable GPU resources and AI services through an open access cloud platform. It allows users, including companies, researchers, data centers, and individuals, to access powerful GPUs such as A100 and H100 at the lowest market prices. Hyperbolic also enables users to monetize their idle machines, turning them into profit-makers with flexible payment options. The platform is praised for its revolutionary role in democratizing AI by offering easy access to computing resources and AI inference services at competitive prices. Hyperbolic is committed to creating an equitable and transformative future with AI, focusing on collaboration, security, scalability, and reliability in its services.

📋 Description

• Build, validate, and benchmark new customer clusters, then hand them over with documentation • Provide deep escalations for multinode and NCCL performance, GPU and hardware faults, driver and fabric issues, containers, and schedulers • Prove fault location, escalate issues to infrastructure providers with evidence, and coordinate maintenance windows, RMAs, hung-node fixes, and disputed fault attribution • Own named customer accounts and learn their workloads and infrastructure • Advise customers on changes needed before they encounter issues • Own monitoring and alerting for customer clusters using Grafana and Prometheus • Automate repetitive work and convert escalations into L1 runbooks • Stay embedded with customer environments after cluster handoff

🎯 Requirements

• Deep Linux experience and total comfort in the CLI, including in someone else's broken environment • Hands-on multinode GPU experience: NCCL, InfiniBand or RoCE, collective performance debugging, topology and placement • Hardware fault triage on GPU nodes: XID and ECC errors, dmesg, lspci, nvidia-smi, thermal and power faults • Experience provisioning and operating GPU clusters with Kubernetes, Slurm, or both • Genuine comfort with customer-facing work, including delivering bad news and confidently attributing responsibility • Sound judgment on when to keep digging and when to escalate • Experience with parallel filesystems (Weka, Lustre, GPFS) and high-performance storage preferred • Grafana, Prometheus, or similar observability stacks in production preferred • Prior forward deployed engineer, solutions architect, or technical account manager experience preferred • Infrastructure as code (Terraform, Ansible) and CI for cluster provisioning preferred • Exposure to model training or inference workloads from the practitioner side preferred • Legally authorized to work in the United States • Must answer whether employment visa sponsorship is required

🏖️ Benefits

• Equal opportunity employer • Inclusive work environment • Remote work arrangement

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