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:
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Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
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Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
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Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
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Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
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Raise the Bar: We’re always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
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Think Long-Term: We design for what’s next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.
The Training & Experimentation team at Lightning AI builds the platform that enables developers to experiment at scale and train their own intelligence. Whether customers are training foundation models, fine-tuning open-source models, launching distributed training jobs, or iterating on experiments, this team creates the infrastructure and developer experience that powers every stage of the AI lifecycle.
We’re looking for a Senior Software Engineer to help design and scale the backend systems that make AI development faster, more reliable, and easier to use. You’ll work across distributed training infrastructure, workload orchestration, experiment management, developer tooling, and platform APIs while partnering closely with our Managed Infrastructure, Core Platform, and Optimized Compute teams.
This is an opportunity to build systems that support real-world AI workloads at scale while shaping the developer experience used by researchers, startups, and enterprise AI teams around the world.
This role is based in one of our San Francisco, NYC, or London office hubs, with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.