or apply directly on Lightning AI's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 87 days Lightning AI's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- No 6% of Lightning AI's roles list one
- Ghost-job risk at Lightning AI
- high 54 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
- 2026-10-29
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 machine learning engineers to support large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms. Your role involves diagnosing complex distributed systems issues, improving platform reliability, and providing actionable guidance to customers. This position emphasizes technical problem-solving and collaboration rather than traditional support tasks.
- 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 not a traditional help desk or ticket routing support role
- This is not purely customer success or account management
- This is not a backend engineering role
- This is not a passive escalation position
Summarised from Lightning AI's posting. Read the full original.
Listed by Lightning AI on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.
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