From the PyTorch Lightning creators. Own your AI, don. Backed by Index.
About the role
Lightning AI is seeking a Senior Infrastructure Software Engineer to join our Infrastructure Engineering team. Our Infrastructure Engineering team builds the software systems that operate and manage Lightning AI’s large-scale GPU and bare-metal infrastructure. We develop services, APIs, tooling, and automation that bridge the gap between our physical infrastructure and the systems our customers depend on for AI/ML training, inference, and HPC workloads.
What they're looking for
- 8+ years of professional software engineering, infrastructure engineering, or related experience
- Strong software engineering fundamentals and experience building production backend systems in Python or similar object-oriented programming languages
- Strong experience with Linux in production environments
- Experience building APIs, tooling, or automation for managing infrastructure at scale
- Familiarity with containerization and orchestration concepts
- Understanding of HPC and bare-metal infrastructure fundamentals, including provisioning and out-of-band management
More about this role
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 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:
- Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
- Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company...
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