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Senior Systems Engineer (AI Training Infrastructure)

river ai • United States
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This Job is No Longer Active This position is no longer accepting applications
AI Summary

Build and optimize high-performance, distributed AI training systems at River AI, focusing on scalable GPU kernels, fault-tolerant clusters, and end-to-end performance optimization. Collaborate with researchers to accelerate model development while ensuring reliability and efficiency across thousands of nodes. Requires deep expertise in systems programming, computer architecture, and distributed systems.

Key Highlights
Architect and deploy fault-tolerant distributed systems for AI training and inference across large-scale clusters
Design high-performance GPU kernels and optimize tensor operations, memory, and networking (InfiniBand/RDMA)
Partner directly with research scientists to implement, optimize, and scale experimental model architectures

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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 maximize tensor operation efficiency, memory throughput, and networking over InfiniBand/RDMA
Profile and optimize systems end-to-end to resolve bottlenecks in hardware, software, data loading pipelines, and collective communication primitives
Collaborate directly 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) and hardware constraints (HBM, PCIe)
Proven track record of shipping and maintaining 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 Sep 16, 2026
Employment Full-time
Experience Not Applicable
Location United States
Category Programming
Company river ai
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