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MatX

Designs high-throughput AI hardware chips

ASIC/SOC Silicon Physical Design Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeMountain View, CA, USA

About the Job

Requirements

  • A Bachelor of Science in Electrical Engineering or equivalent is required.
  • A minimum of 8 years of industry experience in ASIC physical design is required.
  • Strong interpersonal and communication skills are required.
  • Strong proficiency in programming languages such as Perl, Python, and Tcl is required.
  • Expertise driving physical-design construction and sign-off for blocks, subsystems, and/or full-chip designs from early RTL to production silicon is required.
  • Experience collaborating with Design, Verification, and DFT teams to structure, partition, and optimize designs for PPA through sign-off is required.

Responsibilities

  • Contribute to MatX’s physical-design methodology to achieve a scalable solution across block, subsystem, and full-chip designs from RTL to GDSII.
  • Own entire subsystems or subsets and/or chip-level physical-design deliverables, including construction (partitioning, floorplanning, synthesis, place and route, and clocking) and sign-off (equivalency, extraction, timing, power estimation, EMIR, and physical verification).
  • Plan and drive intermediate and sign-off reviews.
  • Report execution progress toward silicon milestones, including design freeze and tapeout.
  • Work closely with Design, DFT, and other physical-design co-owners of the subsystem or block to deliver strong Performance-Power-Area results.

Desired Qualifications

  • Experience working with third-party Design Services partners.

About the Company

MatX

Designs high-throughput AI hardware chips

MatX builds high-throughput AI accelerators for large language models. Its main product is a dedicated chip where every transistor is optimized for running large neural networks, aiming to deliver strong performance for training and inference of LLMs. The company also develops the surrounding software stack, including compilers, to make the hardware easy to program for ML engineers (e.g., through JAX-based workflows). Unlike general-purpose processors, MatX focuses on specialization and full-stack optimization from silicon to software. Its goal is to enable organizations with substantial AI workloads to scale efficiently by providing powerful, purpose-built hardware and the compatible software tools they need to deploy and optimize large models.

Company size
51-200
Company stage
Series B
Total funding
$604.9M
Headquarters
Mountain View, CA
Founded
2022

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