About the job
Who We Are
Lightning AI, the driving force behind PyTorch Lightning, was established in 2019. We have developed a comprehensive platform that streamlines the process of creating, training, and deploying AI systems, transforming innovative ideas from research to production with greater efficiency.
Following our merger with Voltage Park, a leading neocloud and AI Factory, we are proud to combine cutting-edge developer-focused software with cost-effective, large-scale computational resources. Our platform provides teams with essential tools for experimentation, training, and production inference, all while ensuring security, observability, and control.
Our clients range from independent researchers to startups and large enterprises. Lightning AI has a global footprint, with offices in New York City, San Francisco, Seattle, and London, and is supported by prominent investors including Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
Our Values
Move Fast: We prioritize speed and precision, breaking down complex challenges into manageable steps.
Focus: We tackle one goal at a time, working collaboratively to deliver features with accuracy.
Balance: We believe sustained performance is rooted in rest and recovery, promoting a healthy work-life balance to optimize your performance.
Craftsmanship: We value excellence and attention to detail, taking pride in honing our skills.
Minimal: We embrace simplicity as a driver of innovation, eliminating unnecessary complexity through disciplined focus on what truly matters.
What We're Looking For
We are seeking a talented Backend Engineer to contribute to the development and scaling of the Lightning AI platform, encompassing frontend, CLI, API, billing, security, and integrations.
The ideal candidate will take ownership of significant features and lead development efforts from conception to launch while collaborating with a highly skilled team of engineers, product managers, and designers. You will have the opportunity to advance groundbreaking technology that will reshape the machine-learning ecosystem!
You will join the Blue Squad and report to our Director of Engineering. This is a hybrid position based in our Bay Area office, requiring in-office attendance two days per week.

