Lightning AI

Infrastructure Engineer (GPU & Compute)

Lightning AI · London, England, United Kingdom; New York, New York, United States; Remote; San Francisco, California, United States; Seattle, Washington, United States

Posted about 2 months ago

or apply directly on Lightning AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Lightning AI's roles stay open a median of 66 days
Reposted
No
Salary listed
No
6% of Lightning AI's roles list one
Ghost-job risk at Lightning AI
high
47 stale, 1 reposted of 54 open
Hiring momentum
61 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Lightning AI's own greenhouse board since 2026-08-03. Full hiring picture for Lightning AI.

About this role

As a Senior GPU & Compute Infrastructure Engineer at Lightning AI, you will be responsible for the validation and operation of large-scale bare-metal compute infrastructure, focusing on GPU-enabled systems. Your day-to-day tasks will include managing system diagnostics, developing automation tools, and ensuring that clusters are prepared for demanding AI/ML and HPC workloads. You will collaborate with various teams to enhance infrastructure reliability and performance.

Our read on this posting2.8out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lightning AI as an employer.

What you need

  • 5+ years of experience in infrastructure engineering, systems engineering, or related roles
  • Strong Linux systems experience in production environments
  • Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
  • Familiarity with bare-metal provisioning and system bring-up workflows
  • Proficiency in Python or similar scripting/programming languages for automation
  • Ability to debug complex issues across hardware, OS, GPUs, and system software

Nice to have

  • Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
  • Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
  • Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
  • Data center operations experience, including working with physical hardware
  • Experience supporting AI/ML or HPC workloads at scale

What you get

  • Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.
  • Meaningful Equity: RSUs that give employees a stake in the company's long-term success.
  • Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).
  • Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.
  • Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.
  • Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments.

Worth weighing

  • No salary listed in the posting, but a range is provided.
  • The role may be fully remote or hybrid, but visa sponsorship is not available.
  • The position involves working with both hardware and software, which may require a broad skill set.
  • The company emphasizes a fast-paced environment, which may not suit everyone.

Summarised from Lightning AI's posting. Read the full original.

Listed by Lightning AI on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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