Design Verification Engineer
River AI
Design Verification Engineer
River AI
API for fine-tuning open-weight models
At River AI, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, bespoke training infrastructure, next-generation UIs, and frontier deep learning research.
We are scientists, engineers, and builders from the industry's top tech companies and AI labs. We bring a proven track record of scaling consumer systems for hundreds of millions of users and architecting the pre-training infrastructure behind today's frontier models.
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.
Minimum Qualifications:
Preferred Qualifications: (We encourage you to apply even if you don’t meet all of these)
Logistics & Benefits
River AI helps developers and enterprises train, fine-tune, and own custom open-weight AI models using its River API, which focuses on open-weight models rather than a single lab-owned general model. The API supports LoRA fine-tuning and reinforcement learning on frontier open weights, featuring fast weight transfers, sampling-training consistency, elastic compute, and token-based billing that avoids idle GPU charges. It differentiates itself by enabling true ownership and control of models, offering a full-stack solution for training, fine-tuning, and deploying custom models without relying on a centralized general model. Its goal is to empower individuals and organizations to own, customize, and run their own AI systems with close-to-the-user control.
Explore more opportunities at River AI