Search the 9 jobs at Lightning AI

The Strategic Partnerships Director will develop and manage relationships with key partners, negotiate contracts, create joint go-to-market strategies, and drive sales initiatives. This role involves collaborating with sales and product teams, monitoring partnership performance, and providing strategic insights to enhance market presence.

As a Research Engineer, you will develop the Thunder compiler and perform optimizations in PyTorch, JAX, and CUDA. You'll create optimized kernels, integrate with the Lightning ecosystem, engage with the community, and support the technology's adoption across the industry.

The Product Marketing Manager will define and execute go-to-market strategies for Lightning AI's platform, develop messaging tailored to target audiences, conduct market analysis, and create sales tools and collateral. Collaboration with various teams and tracking performance metrics are essential responsibilities.

The Product Marketing Manager will define and execute go-to-market strategies for Lightning AI’s platform, craft compelling messaging, conduct market analysis, and collaborate with sales and engineering teams. The role focuses on launching products, creating sales tools, and enhancing customer engagement through successful marketing initiatives.

The Backend Engineer will develop and scale the Lightning AI platform, focusing on writing efficient code in Go, mastering technology stacks, and mentoring team members while driving delivery and improving system performance.

As a Fullstack Engineer, you will develop and scale the Lightning AI platform by writing efficient code in React and either Python or Go. Responsibilities include delivering features, improving system stability, championing software quality, mentoring engineers, and collaborating with teams to set the technical direction for projects.

As a Frontend Engineer, you will develop and scale the UI and frontend infrastructure of the Lightning AI platform, taking ownership of features from proof of concept to release and collaborating with engineers, product managers, and designers to enhance system performance and stability.

As a Research/Compiler Engineer at Lightning AI, you will develop the Thunder compiler and optimize deep learning models. Your role involves integrating Thunder with the PyTorch Lightning ecosystem and supporting its industry adoption, along with engaging with the community to promote growth.

The Research/Compiler Engineer will develop the Thunder compiler and optimize machine learning models, focusing on performance and integration within the PyTorch Lightning ecosystem. Responsibilities include creating optimized kernels and supporting community growth for Thunder adoption.