Software Engineer - Infrastructure

Software Engineer - Infrastructure at Kumo

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 lake houses, the traditional ML approach has failed them with its painfully slow iterations, complex feature engineering, and disappointing results.

Our breakthrough is 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.

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 is both incredibly powerful and surprisingly simple to use.

• Design and implement the core architecture of our distributed training and inference systems, capable of handling 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.

• 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 such as Python, Java, or C++.
• Problem‑solving mindset with ability to tackle novel challenges in uncharted territory.

• 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 Tensor Flow, 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.

• Stock.
• Competitive Salaries.
• Medical Insurance.
• Dental Insurance.

The base pay range for this role is $145,000 – $250,000 per year.

Mid‑Senior level.

Full‑time.

Engineering and Information Technology.

Software Development.

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.