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Senior Hardware Performance Engineer, AI Accelerators

river ai • United States
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AI Summary

River AI seeks a Hardware Performance Engineer to architect, model, and optimize custom AI silicon. Responsibilities include developing high-fidelity simulators, characterizing workloads, and collaborating on HW/SW co-design. Requires 5+ years of experience with advanced process nodes and expert C/C++ or SystemC simulation skills.

Key Highlights
Architect, model, and correlate high-performance custom silicon for AI accelerators.
Develop high-fidelity simulators and performance models for AI accelerator architecture.
Collaborate with compiler, RTL design, and software teams for HW/SW co-design.

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Key Responsibilities
Design and implement high-performance and functional models of complex hardware using C++ and/or SystemC.
Conduct "what-if" studies to evaluate architectural changes and their impact on performance metrics.
Analyze and profile AI kernels and software stacks to generate representative traces.
Collaborate with compiler and kernel teams to optimize software mapping to hardware.
Validate the performance model against RTL and pre-silicon emulators.
Identify and quantify system-level bottlenecks.
Technical Skills Required
C++ SystemC Computer Architecture

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Benefits & Perks
Health, dental, and vision benefits
Unlimited PTO
Relocation support

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Nice to Have
Pre-silicon RTL/emulator and/or post-silicon performance validation
QEMU models for pre-silicon software development
Scripting for data post-processing, visualization, and automation

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, custom 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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Job Overview
Posted Aug 11, 2026
Employment Full-time
Experience Not Applicable
Location United States
Category Programming
Company river ai
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