# Compiler Engineer, Hardware 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: 2026-05-15
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/riverai/jobs/4250021009
- Page: https://www.1752.vc/careers/jobs/river-ai-compiler-engineer-hardware/

## About the role

We are looking for exceptional AI compiler engineers to build the software bridge between the newest AI models and our high-performance custom silicon. You will create and build the compiler stack from PyTorch graphs all the way to optimized custom ISA assembly code. You will take ownership of kernel algorithms, intermediate representations, and even modify the ISA as necessary to achieve a flexible and high performance compiler stack.

## What they're looking for

- Bachelor’s degree in Electrical Engineering or Computer Engineering, and 5+ years practical industry experience working with advanced process nodes (7nm or below)
- Deep hands-on experience with MLIR or XLA for deep learning workloads
- Expert-level understanding of PyTorch internals and how they interface with external backends
- Proficiency in modern C/C++ for building robust, scalable, and high-performance compiler infrastructure
- Advanced knowledge in Computer Architecture, especially the Programming Model, of at least one style of chip, including SoCs, CPUs, GPUs, or AI accelerators
- A highly collaborative mindset to push boundaries and co-design effectively with other engineers

Tags: Personal AI Hardware