At Kumo, we're not just building another AI platform—we're fundamentally reinventing how enterprises extract value from their massive data investments. While companies pour millions into data lakehouses, the traditional ML approach has failed them with its painfully slow iterations, complex feature engineering, and disappointing results.
Our breakthrough? A revolutionary platform that harnesses the power of Graph Neural Networks through our elegant Predictive Query Language, allowing data scientists to unlock insights
12x faster with superior accuracy than conventional methods.
Your Mission
As an Infrastructure Engineer at Kumo, you'll architect the foundation that makes this AI revolution possible. You'll design and build scalable distributed systems that seamlessly bridge data warehouses with cutting-edge ML workflows, creating a platform that's both incredibly powerful and surprisingly simple to use.
Working alongside engineering leaders from top tech companies and researchers from Stanford, you'll solve complex technical challenges that few engineers get to tackle : building infrastructure that elegantly handles massive-scale data, complex ML training, and reliable inference—all while maintaining enterprise-grade security and performance.
Impact You'll Make :
What You Bring :
What Sets You Apart :
Benefits
$145,000 - $250,000 a year
Why Kumo?
Join us to work on technology that's genuinely changing how enterprises leverage AI. You'll build systems that unlock insights from previously untapped data, work with brilliant minds pushing the boundaries of ML, and create infrastructure that makes the impossible seem effortless.
At Kumo, we're not just building software—we're creating the foundation for the next generation of enterprise AI. Come architect the future with us.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Software Engineer Infrastructure • Mountain View, California, United States