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MatX

Designs high-throughput AI hardware chips

Hardware Lab Manager

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeMountain View, CA, USAIn-person

About the Job

Requirements

  • At least 5 years in an electronics test lab, hardware prototyping lab, or similar, including ownership of lab operations beyond individual bench work.
  • An Associate's or Bachelor's degree in Electronics Technology, EET, or a related field, or equivalent hands-on experience.
  • Expert hand soldering and surface-mount technology rework.
  • Hands-on proficiency with standard bench instruments, including oscilloscopes, multimeters, power supplies, and electronic loads, and ability to operate them on a remote engineer's behalf.
  • Experience with calibration databases, asset tracking, and procurement systems such as SAP or Coupa, including coordinating third-party service vendors.
  • Working knowledge of ESD control and lab safety standards, including OSHA/EHS.
  • Strong communication skills to clearly inform engineers about equipment status, rework progress, and schedule conflicts, and ability to manage concurrent requests.
  • A customer-service orientation toward supported engineers, with a proactive and solution-focused approach to anticipating test-session needs.

Responsibilities

  • Perform precision rework on prototype and validation boards, including fine-pitch SMT.
  • Carry out engineering change orders on prototype PCBs, including component swaps, trace cuts, jumpers, and test points, and perform board-level failure analysis on solder joints, traces, pads, and ESD damage using stereo and digital microscopes.
  • Support new board bring-up alongside engineers, including first power-on, rail and current checks, probing, and isolating shorts or damaged parts.
  • Provide first-line support for oscilloscopes, logic analyzers, multimeters, programmable power supplies, electronic loads, and spectrum analyzers; own the calibration schedule, equipment records, and third-party servicing.
  • Configure instruments over GPIB, LAN, and USB; verify automation scripts; and during live remote sessions connect probes, swap cables, change DUT configurations, and cycle power.
  • Schedule after-hours and cross-timezone test windows and maintain handoff logs for remote engineers.
  • Run lab logistics by sourcing equipment and parts, handling purchase orders, vendor quotes, and RMAs, and maintaining live inventories of boards, assets, serial numbers, and reorder thresholds.
  • Keep critical consumables stocked, including solder, flux, IPA, and common SMT parts.
  • Own the lab space, including bench layout and floor plans as the team grows, the ESD control program, and day-to-day lab safety.

Desired Qualifications

  • J-STD-001 or IPC-7711/7721 rework certification.
  • Experience in a high-speed or signal/power integrity lab using VNAs, BERTs, TDR, and eye-diagram measurements, or experience handling optical fiber, including connector inspection and cleaning and polarity verification.
  • Instrument automation in Python using PyVISA and SCPI.
  • Experience with 0201, QFN, LCC, 0.4 mm-pitch BGA, BGA reballing, flex connectors, and RF/coaxial connectors.
  • Experience building out a lab from scratch or through a major expansion, including layout, power distribution, ESD flooring, and benches.
  • Experience supporting first-silicon or new-board bring-up at an AI accelerator company or hyperscaler silicon team.

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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