# Design Verification 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; Austin, TX
- 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/4250005009
- Page: https://www.1752.vc/careers/jobs/river-ai-design-verification-engineer-hardware/

## About the role

We are seeking exception design verification engineers to ensure our high-performance custom silicon is functionally correct. Starting from architectural and micro-architectural definitions, you will define test bench boundaries and implement test environments across a variety of verification methodologies (simulation, formal, emulation, etc). You will collaborate with RTL design, performance modeling and verification, and compiler teams.

## What they're looking for

- Bachelor’s degree in Electrical Engineering or Computer Engineering or Computer Science, and 5+ years industry experience
- Deep, hands-on experience building UVM-based environments (Agents, Scoreboards, Drivers, Monitors, and Predictors)
- Expert command of SystemVerilog for verification, including OOP principles, randomization, and functional coverage
- Strong understanding of computer architecture, including pipelines, cache coherency protocols, memory consistency models, and high-speed interconnects (e.g., AXI, CHI)
- Proven track record of verifying high-performance silicon (CPU, GPU, AI accelerator, or complex SoC)
- A highly collaborative mindset and a bias for action to push boundaries and co-design effectively with other engineers

Tags: Personal AI Hardware