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Lightmatter

Photonic computing hardware for AI acceleration

Staff / Senior Staff Test Platform & Firmware Integration Engineer

Hardware Validation & TestingPosted on Nov 11
Full-timeMountain View, CA, USA

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, and at least 8 years of relevant experience.
  • Hands-on platform bring-up experience on embedded Linux hardware, including boot sequence, boot-source and strap configuration, flash and memory initialization, bootloader and kernel, and debugging with console, JTAG, and logs.
  • Experience validating firmware-level features across releases, including image management across platform variants, upgrade and recovery, secure boot, warm restart, and state preservation.
  • Experience building a hardware-product test automation framework from the ground up and driving its adoption as a team's or organization's daily regression.
  • Hardware-in-the-loop test experience with real devices under test, fixtures, and instruments, including fault injection and negative testing.
  • Strong Python scripting for test automation and comfort with the Linux command line, Git, and CI-integrated test execution.
  • Ability to work from schematics and firmware interface specifications to derive test coverage for UART, I2C, SPI, and flash interfaces.
  • Experience shipping hardware products through NPI gates (EVT, DVT, PVT) with ownership of test readiness.

Responsibilities

  • Own firmware bring-up and integration on SLT boards, including boot and image management across board and product variants, device initialization to a known state, diagnostic APIs, register-level read and write, and mode and state control.
  • Validate that each firmware release provides the hooks required for testing and drive gaps to closure with the firmware team before they reach a test program.
  • Own board-level functional test integration for assembled photonic boards, including firmware loading across multiple devices, calibration and device-programming content from design teams, pass/fail limits, retest policy, and dry-run controls around irreversible operations.
  • Architect and build the SLT test executive, including configuration-driven test sequences, instrument and device abstraction, guaranteed safe-state on abort, and a datalog with unit identity, test conditions, and results that supports comparisons across time and test insertions.
  • Build and operate continuous regression on bench hardware, including scheduled runs, firmware and test-content change detection, and version control of test sequences and limits so a production flow is reproducible.
  • Lead root-cause analysis of intermittent and order-dependent test failures, distinguish test-software, firmware, and hardware causes, and drive fixes with the owning teams.
  • Produce operator procedures, test-plan and release documentation, and transfer packages executable by a technician or manufacturing partner without the author's presence.
  • Set the team's software discipline and mentor early-career engineers in test automation practice, code review, and documentation.

Desired Qualifications

  • Experience with serial-link or network-port validation, including link state, lane configuration, link flaps across restarts, and port counters.
  • Experience with telemetry and log pipelines for device diagnostics.
  • Experience with factory or contract-manufacturer test handoff and sustaining.
  • Exposure to optical, RF, or high-speed electrical measurement and instrument control.
  • Experience with eFUSE or OTP programming controls, or other irreversible test steps.
  • A master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with at least 6 years of industry experience.

About the Company

Lightmatter

Photonic computing hardware for AI acceleration

Lightmatter develops photonic computing hardware that accelerates AI workloads using light-based processors. Its photonic supercomputers run AI tasks faster and use far less energy (about 10x faster and 90% less energy) than traditional electronic systems. The company differentiates itself by focusing on electro-photonic systems and practical AI acceleration for AI and autonomous vehicle workloads, working with universities and selling hardware, software licenses, and partnerships. Its goal is to bring scalable photonic computing to market so AI and self-driving applications can run faster, more efficiently, and at larger scale.

Company size
201-500
Company stage
Series D
Total funding
$822M
Headquarters
Mountain View, CA
Founded
2017

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