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Senior Systems Engineer for AI Training Infrastructure

river ai • United States
Visa Sponsorship Relocation
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AI Summary

Build and optimize high-performance distributed systems for AI model training at River AI. Architect fault-tolerant clusters, design GPU kernels, and collaborate with researchers to scale experimental architectures. Requires deep expertise in systems programming, computer architecture, and distributed debugging.

Key Highlights
Architect and deploy distributed systems for AI training/inference across thousands of nodes
Design high-performance GPU kernels to maximize tensor operations and memory throughput
Collaborate directly with research scientists to optimize and scale experimental models

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Key Responsibilities
Design and deploy fault-tolerant distributed systems for AI training and inference workloads across clusters with thousands of nodes
Develop high-performance GPU kernels to optimize tensor operations, memory throughput, and networking over InfiniBand/RDMA
Profile and debug complex, non-deterministic issues in distributed environments across hardware, software, and data pipelines
Partner with research scientists to implement, optimize, and scale experimental model architectures
Technical Skills Required
C/C++ Distributed Systems Computer Architecture

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Benefits & Perks
Comprehensive health, dental, and vision insurance
Unlimited paid time off (PTO)
Relocation assistance as needed

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Nice to Have
Experience with modern AI frameworks (e.g., PyTorch, JAX)
Deep familiarity with modern GPU architectures (NVIDIA/AMD)
Proven track record of shipping high-performance distributed systems or low-level software libraries

Job 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 areWe 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.
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Job Overview
Posted Aug 11, 2026
Employment Full-time
Experience Not Applicable
Location United States
Category Programming
Company river ai
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