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 RTL design engineers to architect and implement high-performance custom silicon. You will design and define the architecture, micro-architecture, and implementation of complex AI accelerator and related SoC components on advanced foundry nodes. You will take ownership of large parts of the chip and be responsible for both functionality and PPA.
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 proficiency with industry-standard RTL, synthesis, physical design, and timing tools (e.g., System Verilog, VCS/Verdi, Fusion Compiler, PrimeTime)
- Expert knowledge in Computer Architecture of at least one style of chip, including SoCs, CPUs, GPUs, or AI accelerators
- Proven track record of functional and performant silicon delivery, including experience in ECOs and reliable silicon at scale
- A highly collaborative mindset to push boundaries and co-design effectively with other engineers
- Hands-on experience in post-Silicon bug fixing, firmware patching, and GPIO/I2C/SPI/UART low-level debugging
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 RTL design engineers to architect and implement high-performance custom silicon. You will design and define the architecture, micro-architecture, and implementation of complex AI accelerator and related SoC components on advanced foundry nodes. You will take ownership of large parts of the chip and be responsible for both functionality and PPA. You will be collaborating both up and down the stack with compiler and performance model teams, as well as with verification and physical designers.
- Architecture & Micro-architecture: Create high-level architectural specifications as well as detailed...
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