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Firmware Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Alexander Chapman
Full Time position
Listed on 2026-01-14
Job specializations:
  • Engineering
    Embedded Software Engineer, Hardware Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below

Senior Recruitment Consultant at Alexander Chapman

I’m working with a well-funded, early-stage company building wearable AI hardware for one of the largest and most operationally complex industries in the world. The team is developing rugged, body-worn cameras and embedded systems designed to operate all day in extreme jobsite conditions, with real-time on-device processing.

This company has raised $10M+ from top-tier investors, secured strategic distribution through a top U.S. manufacturer, and assembled a rare team combining engineers from leading AI/hardware organizations with deep industry operators. They are scaling production ahead of a public launch in early 2026.

Base pay range

$/yr - $/yr

The Role

You’ll build and ship firmware that powers next-generation wearable devices used by millions of frontline workers. You’ll work closely with hardware, ML, and manufacturing teams across the full product lifecycle—from architecture and prototyping through volume production.

What You’ll Do
  • Develop embedded software for platforms such as STM
    32, ESP
    32, and Linux-based systems
  • Write and maintain drivers for cameras, audio, wireless, IMU, and environmental sensors
  • Implement real-time algorithms and on-device ML inference
  • Build secure provisioning, OTA updates, and device telemetry systems
  • Optimize power consumption for 8+ hour continuous operation
  • Support hardware bring-up, debugging, and manufacturing readiness
Requirements
  • BS in EE, CE, or related field
  • 4+ years of embedded systems / firmware experience
  • Strong C/C++ in resource-constrained environments
  • Experience with at least one major MCU platform (STM
    32, ESP
    32, nRF, etc.)
  • Comfortable debugging hardware-software issues using lab tools and schematics
Preferred
  • Shipped a full product lifecycle in wearables, cameras, or IoT
  • Experience with RTOS (FreeRTOS, Zephyr)
  • Embedded security (secure boot, provisioning, device auth)
  • Familiarity with edge ML inference frameworks

Please apply if you are interested.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Software Development

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