Beam is revolutionizing AI infrastructure by providing a platform that enables developers to build and run AI and LLM applications on serverless GPUs without the complexity of managing infrastructure. As a Platform Software Engineer, you'll be working on critical systems that power hundreds of teams' production applications.
The role involves tackling challenging problems in low-level systems development, GPU memory sharing, and creating cloud development environments that provide a seamless local-like experience. The tech stack primarily consists of Go and Python, with a strong focus on distributed systems and Kubernetes.
This is a career-defining opportunity at a pre-series A startup that's positioned at the intersection of AI and developer tools. The team maintains a focused work environment with quarterly hackathons and values deep work. While the role offers significant growth and impact potential, it's important to note that at this stage of the company, exceptional work-life balance cannot be guaranteed.
You'll be joining a small, dedicated team that's building the future of ML infrastructure. The company's mission is to make ML adoption widespread by abstracting away infrastructure complexities, enabling developers to move from ML prototypes to production services rapidly. If you're passionate about distributed systems, AI infrastructure, and want to be part of a transformative journey in the ML space, this role offers the perfect opportunity to make a significant impact.