MatX

Compute Architect

MatX(11 days ago)

HybridFull TimeSenior$120,000 - $400,000Hardware Engineering
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About this role

MatX designs hardware tailored for the world’s best AI models, building vertically integrated silicon-to-systems solutions to accelerate AI development. The company is hiring an ML accelerator compute architect to lead architecture work on next-generation AI chips. The role is based in Mountain View with a hybrid on-site schedule.

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Required Skills

  • Computer Architecture
  • Power Estimation
  • Area Estimation
  • Timing Estimation
  • Latency Analysis
  • Throughput Scaling
  • Numeric Formats
  • Quantization
  • Code Optimization
  • ISA Design

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MatX

About MatX

matx.com

MatX designs high-throughput chips and systems purpose-built for large transformer AI models, dedicating every transistor to maximizing performance for large-scale training and production inference. They prioritize performance-per-dollar and scale-out—supporting clusters of hundreds of thousands of chips and targeting workloads from ~7B up to 10T-class models, with competitive latency (e.g., <10ms/token for 70B-class). MatX provides low-level hardware control for expert users and aims to dramatically reduce cost and time-to-model so researchers and startups can train and serve very large models affordably and sooner.

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