Lightning AI jobs

Senior Technical Recruiter at Lightning AI (PyTorch Lightning platform company, AI/ML infrastructure, backed by Coatue/Index/Bain) remote role. Responsibilities include full-cycle recruiting for AI software engineering, infrastructure, and product teams; sourcing/screening/interviewing; offer management; building diverse pipelines; and maintaining equitable hiring processes. Requires 7+ years technical recruiting experience, enthusiasm for AI, commitment to inclusive hiring, and Seattle tech community networks. Remote role with offices in NYC, SF, Seattle, London.

Network Operations Center (NOC) Operator at Lightning AI (PyTorch Lightning + neocloud, Series-funded) entry-level data center operations role. On-site required at Fort Worth TX, Lisle IL, or Quincy WA. Monitors systems, triages alerts, follows runbooks, escalates issues. 24/7 shift work, entry-level growth path to SRE. No visa sponsorship available.

Network Operations Center (NOC) Analyst at Lightning AI, supporting 24/7 data center operations across Fort Worth, Lisle (IL), and Quincy (WA) facilities. The role focuses on telemetry analysis, Linux system troubleshooting, network-layer diagnostics, and incident escalation with hands-on command-line work. This is an on-site, infrastructure operations position requiring shift flexibility and does not support remote work.

Platform Support Engineer at Lightning AI, with office locations in San Francisco or Seattle. Role focuses on supporting ML engineers running training and inference workloads on PyTorch Lightning's platform. Responsibilities: partner directly with customer engineering teams, diagnose distributed systems and ML infrastructure issues, troubleshoot PyTorch/CUDA/NCCL/inference serving, analyze logs and metrics to isolate root causes, debug Kubernetes and GPU environments, identify recurring patterns for reliability improvements, contribute to post-incident reviews, build internal tooling and documentation. Requires understanding of ML workloads at scale, Kubernetes, GPU orchestration, distributed systems, and cloud infrastructure. Technical depth needed but role is customer-support-focused rather than product engineering.

Platform Support Engineer role for Lightning AI's EMEA team, supporting ML engineers with Kubernetes, GPU orchestration, and distributed systems troubleshooting. Hybrid position based in London with minimum 2-day/week onsite requirement; no visa sponsorship available. Shifts rotate across EMEA timezones (9AM–7PM CET/CEST).

Director of Legal Operations at Lightning AI serves as the operational backbone for the Legal team, building systems, managing workflows, and supporting company-wide strategic initiatives. Responsibilities include process design, vendor management, compliance, legal tech/contract management systems, and cross-functional partnership. Requires 8+ years legal operations experience and strong operational discipline. On-site in NYC or SF; salary range not specified.

Legal Counsel at Lightning AI, based in New York or San Francisco (hybrid, 2 days/week on-site). Reports to VP of Legal. Primary focus: own commercial contract lifecycle (MSAs, NDAs, DPAs, vendor agreements), serve as legal point of contact for CX/Sales/Engineering/Finance, navigate complex technology transactions with focus on IP rights and data privacy in AI/cloud context, assist VP of Legal on corporate governance, employment, and regulatory compliance. Requires 3–5 years legal practice focused on commercial or corporate transactions, technical contracting knowledge, ideally SaaS/B2B experience. Hybrid role with 2-day/week office requirement in NYC or SF.

Lightning AI, the company behind PyTorch Lightning, is hiring a Forward Deployed Engineer to partner directly with customers on architecting, building, and deploying production AI systems on their platform. You'll own the full customer journey from exploration through production, translating business goals into reliable, observable systems while working across software engineering, AI infrastructure, and customer engagement. Key responsibilities include designing end-to-end AI workflows, debugging and optimizing systems across inference infrastructure, and collaborating with both customer and internal teams to improve platform capabilities. Required experience includes strong software engineering in production systems (Python preferred), direct customer-facing technical work, familiarity with AI/ML pipelines and cloud deployment, and a bachelor's degree in a technical field. Lightning AI is backed by top-tier VCs like Coatue and Index Ventures, with offices in NYC, San Francisco, Seattle, and London; the role requires 2+ in-office days per week and offers $120K–$250K base plus equity and comprehensive benefits. Nice-to-haves include experience with modern AI stacks (vLLM, Ray, LangGraph), inference optimization, and startup environments.

Lightning AI is hiring an Infrastructure Operations Engineer to operate large-scale GPU infrastructure for their AI platform. This hands-on role involves break/fix operations, incident response, customer provisioning, Linux systems administration, bare metal infrastructure, and automation on GPU environments. Required skills: Linux, bare metal provisioning, GPU infrastructure, observability, and automation. The role is flexible: hybrid in US hubs (Seattle, NYC, SF) or fully remote within the US, making it well-aligned with James's location requirements.