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Senior Systems Engineer, AI Training Infrastructure

river ai • San Francisco Bay Area
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River AI seeks exceptional Systems Engineers to build high-performance engines for AI model training. Your goal is to make training fast, reliable, and massively scalable by owning the core infrastructure stack. Requires deep expertise in systems-level languages, computer architecture, and distributed systems.

Key Highlights
Architect and deploy fault-tolerant distributed systems for large-scale AI training.
Design high-performance GPU kernels for optimized tensor operations and networking.
Partner with research scientists to rapidly implement and scale experimental model architectures.
Key Responsibilities
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.
Technical Skills Required
C++ Rust Computer Architecture
Benefits & Perks
Comprehensive health, dental, and vision insurance
Unlimited PTO
Relocation assistance
Nice to Have
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.

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 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

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