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MatX

Designs high-throughput AI hardware chips

Firmware Engineer - Platform & Board Management

Embedded EngineeringConfirmed live in the last 24 hours
Full-timeMountain View, CA, USA

About the Job

Requirements

  • Strong embedded C development experience on ARM-based microcontrollers.
  • Experience with real-time or bare-metal firmware, including interrupts, timing constraints, and work within tight memory budgets.
  • Direct experience working with embedded firmware in a hyperscaler or datacenter environment.
  • Hands-on familiarity with board-level buses and management interfaces.
  • Experience working within large existing firmware codebases, extending, integrating, and maintaining code not originally written by the candidate.
  • Comfort working in a lab with schematics, oscilloscopes, and hardware that may not behave as documented.
  • Ability to collaborate closely with hardware, silicon, and system software engineers.

Responsibilities

  • Develop and extend board management firmware built on open-source firmware stacks.
  • Enhance and maintain embedded firmware running on ARM microcontrollers, including code delivered by silicon partners.
  • Own platform capabilities end to end, including sensor monitoring, power and thermal management, firmware updates, and hardware health reporting.
  • Participate in board bring-up alongside hardware and system software teams, from first power-on through production.
  • Debug across the firmware and hardware boundary using lab equipment and low-level tooling.

Desired Qualifications

  • Experience with Linux-based board management controller firmware and its build systems.
  • Familiarity with server platform management standards and protocols.
  • Exposure to firmware security, including secure boot, signed updates, and attestation.
  • Prior involvement in open-source firmware communities.

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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