Software Engineer - Infrastruture

Baseten is a well-funded ML infrastructure company backed by prestigious investors including IVP, Spark Capital, Greylock, and others. They've recently secured Series B funding and are making significant strides in the massive ML infrastructure market. Their platform is trusted by notable companies like Descript, Bland.ai, Patreon, Writer, and Robust Intelligence for critical production workloads.

As a Software Engineer focusing on infrastructure, you'll be instrumental in shaping Baseten's cloud infrastructure, which serves as the foundation for machine learning-powered applications. The role demands expertise in programming languages like Python, Go, or Ruby, and strong experience with Kubernetes cluster management in production environments.

The position offers a competitive compensation package ranging from $150K to $250K, plus equity, placing it in the 90th percentile or better for similar roles. Benefits include unlimited PTO, 401k, comprehensive healthcare coverage, and a remote-first culture that promotes work-life balance.

Key responsibilities include developing and maintaining software systems, managing Kubernetes clusters, addressing security and scalability concerns, and potentially leading a team. The ideal candidate should have 3+ years of experience in a fast-paced environment, strong technical skills, and a passion for machine learning infrastructure.

Baseten offers a unique opportunity to work at the intersection of cloud infrastructure and machine learning, with exposure to various ML startups and the chance to solve challenging technical problems. The company maintains an inclusive, supportive culture that values learning, growth, and diversity.

This role is perfect for someone who wants to make a significant impact in the AI/ML infrastructure space while working with cutting-edge technology and a talented team. The position offers both technical challenges and leadership opportunities, making it ideal for engineers looking to grow their careers in a rapidly evolving field.