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 physical design engineers to transform our high-performance architectural concepts into production-ready silicon. You will own the physical implementation flow from synthesis through tape-out, pushing the absolute limits of advanced foundry nodes to maximize PPA. You will take ownership of block-level and top-level physical design, collaborating tightly with RTL designers to close timing, electrical, and physical verification for our custom AI accelerator.
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 physical design, timing, and sign-off tools (e.g., Innovus, Fusion Compiler, PrimeTime, RedHawk)
- Proven track record running logic synthesis, integrating compiled memory macros, and managing multi-voltage design techniques using power intent specifications (UPF/CPF)
- Exceptional debugging skills with a first-principles approach to navigating complex trade-offs between congestion, timing slack, and power density in highly utilized designs
- A highly collaborative mindset and a bias for action to push boundaries and co-design effectively with RTL and architecture teams
- An extensive track record of delivering high-performance SoCs, CPUs, GPUs, or AI accelerators through multiple successful production tape-outs
More about this role
At River, 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.
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 physical design engineers to transform our high-performance architectural concepts into production-ready silicon. You will own the physical implementation flow from synthesis through tape-out, pushing the absolute limits of advanced foundry nodes to maximize PPA. You will take ownership of block-level and top-level physical design, collaborating tightly with RTL designers to close timing, electrical, and physical verification for our custom AI accelerator.
- Drive Synthesis and Place-and-Route: Own the physical implementation flow from RTL synthesis through placement, clock tree synthesis (CTS), and routing for...
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