Own end-to-end PCB layout for high-speed, high-power AI compute hardware, from floorplanning and stack-up design through fabrication release, while supporting signal integrity, power integrity, and board bring-up.
Matx jobs
Chip maker serving the large model needs of frontier labs.
40 open roles at Matx
Leads mechanical design, thermal architecture, and system integration for rack-scale AI compute hardware, guiding trays, rack systems, liquid cooling, and manufacturing qualification from concept through production.
Design and validate rack-scale mechanical systems for AI compute, including trays, enclosures, and liquid cooling hardware, while supporting integration, prototype builds, and manufacturing readiness.
Own power estimation and optimization for AI accelerator SoCs, building energy models, analyzing workloads and implementation trade-offs, and partnering across architecture, RTL, and physical design.
Own silicon verification from architecture and design specifications through tapeout, developing scalable testbenches and validation methods to deliver functionally accurate, high-performance compute silicon.
Design and deliver silicon micro-architecture for compute, memory, and connectivity subsystems, driving work from architecture specifications through sign-off while partnering with verification, DFT, and physical design teams.
Build and own the host-side runtime for custom AI accelerators, spanning device interfaces, compiler and kernel contracts, Python bindings, LLM inference serving, cluster recovery, and profiling.
Design and deliver high-performance silicon from micro-architecture through sign-off, owning subsystem or chip-level work and driving design reviews, closure, and tapeout in collaboration with verification, DFT, and physical design teams.
Prove correctness across hardware and compiler layers by verifying RTL, formalizing compiler transformations, and developing theorem-prover models that support functional and microarchitectural guarantees.
Perform differential testing between RTL and a Rust cycle-accurate simulator, generate and minimize test cases, verify behavior against specifications, and improve simulation performance.
Define, design, and validate rack-scale AI data center power architecture from rack to chip, developing efficient power delivery and voltage regulator solutions and guiding lab validation and system integration.
Implement and verify DFT functions for advanced silicon, developing SERDES PHY test solutions, integrating PHY interfaces, and supporting silicon test programs from simulation through ATE.
Own full-chip or subsystem silicon architecture for high-performance AI hardware, translating customer workloads and ML systems research into specifications and performance, area, and power trade-offs.
Own and improve the ASIC physical design CAD flow from RTL to GDSII, automating back-end runs and deploying EDA tools and infrastructure to deliver performant, functionally correct silicon.
Own ASIC and SoC physical design from RTL through production silicon, driving construction, sign-off, and cross-functional optimization to deliver high-performance, power-efficient designs through tapeout.
Own SoC verification across subsystems and chip-level designs, building testbenches and driving coverage closure, verification reviews, and sign-off milestones from design specifications through tapeout.
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