From the PyTorch Lightning creators. Own your AI, don. Backed by Index.
About the role
We are seeking an experienced Platform Engineer to partner directly with Lightning customers to architect, build, and deploy production AI systems. Working alongside customer engineering teams, you'll solve complex technical challenges across inference infrastructure, distributed systems, APIs, and AI workflows—building reliable, observable systems that perform at scale.
What they're looking for
- Strong software engineering experience building production full-stack applications, including modern frontend frameworks such as React and TypeScript, and backend services in Python, Go, or similar programming languages
- Experience working directly with customers in highly technical environments, such as Forward Deployed Engineering, Solutions Engineering, Applied AI Engineering, Technical Product Engineering, or related roles
- Familiarity with AI/ML pipelines and the lifecycle of model development, evaluation, deployment, and monitoring
- Experience deploying and operating production AI/ML systems in cloud or distributed environments
- Familiarity with modern AI infrastructure and tooling such as Docker, Kubernetes, APIs, model serving systems, or distributed inference workloads
- Strong communication and collaboration skills, especially when working through complex technical topics with customers, engineers, and cross-functional stakeholders
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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