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Senior Systems Engineer – Distributed AI Training Infrastructure

river ai • United States
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

Build and optimize distributed training systems for large-scale AI models at River AI. Own execution of training workloads, including gradient computation, optimizer updates, and checkpoint recovery, while collaborating with researchers to enhance model efficiency and reliability across GPU clusters. Requires deep expertise in distributed systems, deep learning frameworks, and GPU optimization.

Key Highlights
Design and optimize distributed training engines for large dense and mixture-of-experts models
Implement reliable checkpointing, recovery, and worker fault tolerance for consistent training state
Collaborate with researchers to deploy new learning algorithms through the River API
Key Responsibilities
Build and optimize distributed training pipelines for large-scale AI models, including low-rank adapter training
Improve reinforcement-learning workflows by coordinating sampling, reward computation, and weight transfer
Optimize GPU memory usage, parallelism, and communication to maximize training throughput
Implement robust checkpointing, resumption, and worker recovery mechanisms
Validate numerical correctness of losses, gradients, and optimizer behavior across distributed systems
Partner with researchers to integrate new algorithms into the River API
Technical Skills Required
Distributed Systems Engineering Deep Learning Frameworks (PyTorch/JAX) GPU Optimization & Mixed-Precision Training
Benefits & Perks
Comprehensive health, dental, and vision insurance
Unlimited paid time off (PTO)
Visa sponsorship
Nice to Have
Experience with reinforcement-learning infrastructure or asynchronous training
Familiarity with tensor/pipeline/expert/data parallelism
Proficiency in C++, Rust, or CUDA for low-level performance tuning

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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