Software Engineer - Infrastructure
Mountain View, CA
Engineering /
Full Time /
Hybrid
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:
- Design and implement the core architecture of our distributed training and inference systems that can handle enterprise-scale data
- Craft elegant integration points between data warehouses, ML processing engines, and our proprietary Graph Neural Network technology
- Build sophisticated orchestration systems that optimize computational resources while ensuring reliability and restartability
- Develop clean APIs and abstractions that decouple system components for rapid parallel development
- Create scalable, cloud-native infrastructure that grows with our customers' needs while maintaining performance
- Collaborate directly with customers to refine and iterate on real-world deployments
What You Bring:
- Strong foundation in computer science (BS required, MS/PhD preferred) with 5+ years of software development experience
- Deep understanding of distributed systems design principles
- Proficiency in languages like Python, Java or C++
- Problem-solving mindset with ability to tackle novel challenges in uncharted territory
What Sets You Apart:
- Experience with cloud distributed storage, databases, and file systems (AWS, Azure)
- Track record building and scaling microservices architectures
- Knowledge of ML frameworks like PyTorch or TensorFlow, especially inference serving at scale
- Contributions to open-source projects in distributed systems or data processing
- Understanding of ML fundamentals, especially in enterprise applications
- Experience designing systems that elegantly handle failure modes and restarts
Benefits
- Stock
- Competitive Salaries
- Medical Insurance
- Dental Insurance
$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.
