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London, England, United Kingdom; New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States
Source: Lightning AI careers · View original posting
From Lightning AI's posting. “We” and “our” refer to the employer.
Who
We Are
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
The Way We Work
The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:
We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
We lead by example, empower others, and create healthy teams where people can do their best work.
We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.
This is not a traditional systems administration or ticket-driven operations role. You'll troubleshoot problems across the infrastructure stack, own issues through resolution, and identify opportunities to automate recurring work. You'll also contribute to longer-term engineering projects that improve reliability, standardize operations, and allow our infrastructure to scale efficiently.
We're looking for an infrastructure generalist who is comfortable going deep when something breaks, but who also step back and ask how we can prevent the same problem from happening again.
This role may be fully remote within the U.S., or hybrid out of one of our U.S. office hubs (NYC, SF, or Seattle) with occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.
Required Qualifications
Strong experience operating and troubleshooting Linux-based production infrastructure at scale.
Experience troubleshooting complex infrastructure issues across compute, networking, storage, and operating systems.
Strong automation and scripting skills using Python, Go, Bash, Ansible, or similar tools.
Experience with Kubernetes, Slurm, or other cluster and workload orchestration systems.
Experience using monitoring, observability, and telemetry systems to diagnose and troubleshoot production infrastructure.
Strong systems and networking fundamentals, with a track record of owning production issues through resolution.
Comfortable working in ambiguous environments and collaborating across engineering, operations, and customer-facing teams.
Nice-to-Haves
Experience troubleshooting, provisioning, or operating bare-metal server infrastructure.
Experience operating or troubleshooting GPU, HPC, or other high-performance compute infrastructure.
Familiarity with NVIDIA GPUs, DCGM, InfiniBand, RoCE/RDMA, NVLink, or high-speed data center networking.
Experience with hardware management and provisioning technologies such as PXE, BMC, IPMI, Redfish, or iDRAC.
Experience with distributed or high-performance storage systems such as VAST, Ceph, GPFS, or WEKA.
Experience with infrastructure-as-code, configuration management, or GitOps workflows.
Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
The anticipated annual base salary range for this role is: $175,000 — $200,000 USD
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted:
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