About the job
Who We Are
Lightning AI is the innovative force behind PyTorch Lightning. Established in 2019, we offer a comprehensive platform designed for the seamless development, training, and deployment of AI systems, transforming ideas from research into production with minimal friction.
Following our merger with Voltage Park, a cutting-edge neocloud and AI Factory, we combine developer-centric software with cost-effective, large-scale computing capabilities. Our tools empower teams to explore, train, and conduct production inferences while ensuring built-in security, observability, and control.
We cater to solo researchers, startups, and large enterprises alike. With a global presence that includes offices in New York City, San Francisco, Seattle, and London, we are supported by leading investors such as Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
Our Values
Move Fast: We act swiftly and with precision, breaking down significant challenges into manageable steps.
Focus: We tackle one objective at a time, working collaboratively to deliver features with meticulous attention to detail.
Balance: We recognize that sustained performance is rooted in rest and recovery, promoting a healthy work-life balance to keep our team thriving.
Craftsmanship: Innovation is driven by excellence. We take pride in mastering our craft, ensuring every detail is significant.
Minimal: Simplicity fuels our innovation. We strive to eliminate complexity through discipline, honing in on what genuinely matters.
What We're Looking For
We seek a talented Backend Engineer to enhance and scale the Lightning AI platform, working across frontend, CLI, API, billing, security, and integrations. The ideal candidate will take ownership of critical features and lead development from inception to completion while collaborating with a skilled team of engineers, product managers, and designers. You will move from proof of concept to release, emphasizing speed, quality, and iterative improvement.
This is an exciting opportunity to create transformative technology that will revolutionize the machine-learning landscape!
This is a hybrid role based in our Redmond office with an in-office requirement of 2 days per week. The salary for this position ranges from $120,000 to $250,000.

