Develop frontier language models and agents. Training, reinforcement learning, and inference in one system, on River Cloud or your own GPU cluster. Backed by General Catalyst.
About the role
We are looking for exceptional AI compiler engineers to build the software bridge between the newest AI models and our high-performance custom silicon. You will create and build the compiler stack from PyTorch graphs all the way to optimized custom ISA assembly code. You will take ownership of kernel algorithms, intermediate representations, and even modify the ISA as necessary to achieve a flexible and high performance compiler stack.
What they're looking for
- Bachelor’s degree in Electrical Engineering or Computer Engineering, and 5+ years practical industry experience working with advanced process nodes (7nm or below)
- Deep hands-on experience with MLIR or XLA for deep learning workloads
- Expert-level understanding of PyTorch internals and how they interface with external backends
- Proficiency in modern C/C++ for building robust, scalable, and high-performance compiler infrastructure
- Advanced knowledge in Computer Architecture, especially the Programming Model, of at least one style of chip, including SoCs, CPUs, GPUs, or AI accelerators
- A highly collaborative mindset to push boundaries and co-design effectively with other engineers
More about this role
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, custom training infrastructure, next-generation UIs, and frontier deep learning research.
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.
We are looking for exceptional AI compiler engineers to build the software bridge between the newest AI models and our high-performance custom silicon. You will create and build the compiler stack from PyTorch graphs all the way to optimized custom ISA assembly code. You will take ownership of kernel algorithms, intermediate representations, and even modify the ISA as necessary to achieve a flexible and high performance compiler stack. You will be collaborating both up and down the stack with AI researchers and modelers, as well as with performance engineers and silicon architects.
- Graph Lowering & Optimization: Design and implement...
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