# Software Engineer, GPU Kernels at River AI

- Company: River AI
- What the company does: Develop frontier language models and agents. Training, reinforcement learning, and inference in one system, on River Cloud or your own GPU cluster. Backed by General Catalyst.
- Company website: https://river.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Palo Alto, CA
- Work setup: On-site
- Pay: $200K to $420K base salary per year (USD)
- Posted: 2026-09-11
- Apply by: 2026-10-26
- Apply: https://job-boards.greenhouse.io/riverai/jobs/4402432009
- Page: https://www.1752.vc/careers/jobs/river-ai-software-engineer-gpu-kernels/

## About the role

We are looking for exceptional GPU kernel engineers to build the compute primitives behind River’s training and inference infrastructure. Your goal is to make large models faster to train and more efficient to serve.

## What they're looking for

- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience
- Experience optimizing GPU kernels with CUDA, Triton, CUTLASS, CuTe, or comparable tools
- Strong understanding of GPU architecture, memory hierarchies, and parallel execution
- Proficiency in C++ and Python
- Strong foundations in linear algebra, floating-point arithmetic, and numerical computing
- Strong debugging and profiling skills, with a collaborative approach to engineering

Tags: River API