# Software Engineer, River API at River AI Inc.

Software Engineer, River API at River AI Inc. in Palo Alto, CA. Remote, paying $200k–$420k. Posted May 13, 2026.

- Company: River AI Inc.
- Location: Palo Alto, CA
- Workplace: Remote
- Pay: $200k–$420k
- Posted: 2026-05-13
- Apply: https://job-boards.greenhouse.io/riverai/jobs/4248217009
- Source: https://jobmagic.ai/jobs/software-engineer-river-api-river-ai-inc-ydf020

## Requirements

- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical industry experience.
- Deep expertise in systems-level languages (C, C++, or Rust) with a track record of writing performant, maintainable code.
- Strong foundation in computer architecture, memory management, and concurrent programming.
- Exceptional debugging skills, especially when tackling complex, non-deterministic issues in distributed environments.
- A highly collaborative mindset and a bias for action to push boundaries across the stack.

## Description

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.

### Who we are

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.

### **About the Role**

We are looking for exceptional systems engineers to build the high-performance engines that train our models. Your goal is to make training at River fast, reliable, and massively scalable.

You will take ownership of our core infrastructure stack; from writing custom GPU kernels to managing clusters of thousands of nodes, ensuring our researchers can focus on science rather than system bottlenecks.

### **What You’ll Do**

- Architect and deploy fault-tolerant distributed systems for training and inference workloads across clusters with thousands of nodes.

- Design high-performance kernels to maximize tensor operation efficiency, memory throughput, and networking over InfiniBand/RDMA.

- Profile systems end-to-end to resolve blockers across hardware, software, data loading pipelines, and collective communication primitives.

- Partner directly with research scientists to rapidly implement, optimize, and scale experimental model architectures.

### **Skills & QualificationsMinimum Qualifications:**

- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical industry experience.

- Deep expertise in systems-level languages (C, C++, or Rust) with a track record of writing performant, maintainable code.

- Strong foundation in computer architecture, memory management, and concurrent programming.

- Exceptional debugging skills, especially when tackling complex, non-deterministic issues in distributed environments.

- A highly collaborative mindset and a bias for action to push boundaries across the stack.

**Preferred Qualifications:** *(We encourage you to apply even if you don't meet all of these)*

- Hands-on experience with modern AI frameworks (e.g., PyTorch, JAX) and tooling for large-scale model training.

- Deep familiarity with modern GPU architectures (NVIDIA/AMD) and hardware constraints (HBM bandwidth, PCIe limits).

- A proven track record of shipping and maintaining high-performance distributed systems or low-level software libraries.

### **Logistics & Benefits**

- **Location:** Palo Alto, California.

- **Compensation:** Depending on experience and skills the expected base pay is $200,000 - $420,000 USD per year, plus equity.

- **Benefits:** Comprehensive health, dental, and vision insurance; unlimited PTO; and relocation assistance as needed.

- **Visa Sponsorship:** We sponsor visas and are committed to supporting the process for the right candidate.