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Night Gpu Jobs (NOW HIRING)

Jahnel Group

HPC Administrator

Schenectady, NY

Maintain and support GPU infrastructure , including NVIDIA drivers , CUDA toolkits , and fabric ... late night when a tight deadline calls for it. We work for security-conscious clients, thus ...

Jahnel Group

HPC Administrator

Schenectady, NY · On-site

Maintain and support GPU infrastructure , including NVIDIA drivers , CUDA toolkits , and fabric ... late night when a tight deadline calls for it. We work for security-conscious clients, thus ...

Henry Ford Health System

MI · On-site

HFWB Garden Level GPU * Shift: Night Job * Union Code: Not Applicable Additional Details This posting represents the major duties, responsibilities, and authorities of this job, and is not intended ...

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How much do night gpu jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for night gpu in the United States is $20.56, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $23.32 per hour, depending on experience, location, and employer.
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Lead Infrastructure & Platform Engineer

StudyFetch

Beverly Hills, CA • On-site

$123K - $162K/yr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
StudyFetch is the #1 AI-native learning platform globally, transforming how millions of students learn through personalized AI-powered education. The Lead Infrastructure & Platform Engineer will own the infrastructure-as-code platform and lead the development of GPU infrastructure, ensuring reliability and security while supporting the engineering team in deploying and operating their systems.
Responsibilities:
• The platform, end to end. Our infrastructure-as-code (Pulumi/TypeScript on GCP), the Kubernetes clusters, the Shared VPC and networking, the CI/CD and deploy tooling, secrets, and the databases behind them. You own how the whole thing fits together and how the team ships on top of it.
• Reliability and the on-call that follows. Monitoring, alerting, incident response, and the postmortems that make the next incident less likely. When production has a bad night, you're the person who understands why and makes sure it doesn't repeat.
• Our own GPU infrastructure, from the ground up. We're standing up GPU capacity in a colocation facility. You'll help design and build it: hardware and capacity planning, physical and virtual networking, the platform layer that makes those GPUs usable for model serving, and the path that connects it cleanly to our cloud environment. This is a meaningful part of the role, and it's new ground for the company.
• The GPU serving platform. The clusters and pipelines that run our self-hosted models and speech/ASR workloads, keeping latency, cost, and utilization where they need to be for real users at scale.
• Security and compliance posture. We hold ourselves to a real bar (SOC 2, continuous scanning, least-privilege IAM). You keep the platform audit-ready without slowing the team down.
• The bar for the team. The patterns you set for how we deploy, secure, and operate are the ones everyone else follows. As the work grows, you'll shape and help grow the team that does it with you.
Qualifications:
Required:
• 7+ years building and operating production infrastructure, with real depth in cloud platform, Kubernetes, and networking
• You were the founding or early infrastructure engineer who owned a significant share of a real platform.
• You've run production infrastructure that real users depend on, not lab setups.
• You have hands-on experience with physical or colocation infrastructure.
• You're fluent in modern cloud and Kubernetes.
• You use AI every day and have informed opinions about it.
• You've worked through launch crunch and know how you stay effective and level-headed under pressure.
• You're candid about tradeoffs.
• The mission is why you're here.
Company:
StudyFetch is an edtech company that is developing an AI-based study, training, and learning platform for students. Founded in 2023, the company is headquartered in Los Angeles, USA, with a team of 11-50 employees. The company is currently Early Stage.

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