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Lightning AI

AI Platform Support Engineer (EMEA)

Lightning AI · London, England, United Kingdom

Posted about 2 months ago · Previously reposted

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
Yes
taken down and listed again at least once
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 an AI Platform Support Engineer at Lightning AI, you will work closely with ML engineers to support large-scale training and inference workloads across cloud infrastructure and Kubernetes. Your role involves diagnosing complex distributed systems issues, improving platform reliability, and providing actionable guidance to customers. This position requires strong technical skills and the ability to communicate effectively with engineering teams and customers.

Our read on this posting3.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
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

  • Strong software engineering and systems troubleshooting background
  • Experience with Kubernetes and containerized environments
  • Linux systems knowledge, including networking, storage, process management, and performance tuning
  • Experience with cloud infrastructure and distributed systems
  • Experience with observability and debugging tools such as Prometheus, Grafana, or OpenTelemetry
  • Hands on experience operating machine learning workloads in production or research environments

Nice to have

  • Experience with large scale model training or distributed inference systems
  • Familiarity with Ray, Kubeflow, Slurm, or similar distributed scheduling platforms
  • Experience with InfiniBand, RDMA, or high-performance networking
  • Experience operating bare metal infrastructure
  • Familiarity with storage systems commonly used in ML environments

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

  • This role is hybrid with an in-office requirement of at least 2 days per week.
  • No visa sponsorship is available for this role.
  • The role is not a traditional help desk or ticket routing support position, which may not align with all candidates' expectations.
  • The shift is from Wednesday to Saturday, which may not suit all candidates.

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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