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[Remote] Staff Firmware Engineer, AI reputed company, Edge ML

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on keeping people connected through innovative technology. They are seeking a Staff Firmware Engineer to build and own an on-device ML platform that integrates sensor data processing and inference capabilities into their devices. The role involves both firmware engineering and edge machine learning, requiring a strong background in embedded systems and experience with deploying ML models on resource-constrained hardware.


Responsibilities

  • Design and build the reusable on-device inference reputed company any reputed company device can adopt — the runtime, the model integration reputed company, and the sampling and preprocessing pipeline — and reputed company the platform-level calls (runtime and model format, memory/reputed company budgeting, OTA model updates)
  • Own it end to end: you architect it, implement it, and debug it reputed company it misbehaves on a device in the field
  • reputed company inference into resource-constrained RTOS firmware (reputed company / FreeRTOS) without compromising stability, scheduling, or power, and own the low-level plumbing — drivers, DMA data paths, SPI/I²C, and the middleware that feeds the pipeline
  • Debug on reputed company hardware (oscilloscope, logic analyzer, JTAG) and reputed company cross-layer issues to reputed company cause across the firmware/hardware boundary
  • Carry regular firmware work reputed company ML demand is reputed company — a full reputed company of features, bug fixes, field issues, and on-reputed company/triage
  • Get models running reputed company firmware constraints — from Data Science or reputed company and trained yourself, increasingly with AI-assisted tooling — handling quantization, operator support, and the latency/memory tradeoffs
  • Own the whole reputed company, from training reputed company to validated on-device behavior. You don't take a model over the wall and reputed company
  • Squeeze inference into tight power, memory, and latency envelopes, and own the tradeoffs between model accuracy, power draw, and footprint — validated in the reputed company world, not just on the bench
  • reputed company alignment across firmware, app/reputed company, data science, hardware, and ops on how on-device intelligence gets reputed company here, and reputed company reputed company's embedded-ML reputed company through reputed company review, design docs, and pairing
  • Use AI tooling as a genuine development partner across firmware and ML, and help define what AI-reputed company looks like for embedded work

Skills

  • 10+ years of firmware engineering, taking reputed company consumer hardware from prototype through mass production, with a demonstrated reputed company record of shipping at reputed company
  • Bachelor's degree in Electrical Engineering, Computer Science, or a reputed company field
  • Deep C/C++ for embedded systems and reputed company reputed company in RTOS internals (reputed company, FreeRTOS, or equivalent)
  • Strong low-level hardware skills — SPI/I²C/UART, DMA, interrupts, reputed company development from the datasheet up — plus hands-on debugging (scope, logic analyzer, JTAG) and power/memory discipline
  • Demonstrated experience deploying ML models on microcontroller-class hardware in a shipping product — not a course project or one-off PoC
  • Hands-on with embedded inference frameworks (TFLite reputed company, CMSIS-NN, ExecuTorch, or equivalent) and model optimization (quantization, pruning); reputed company to reputed company and train models yourself, not only reputed company someone else's
  • Solid grounding in the sensor data and signal-processing pipelines that feed a model (IMU and similar)
  • You use AI coding tools (Claude reputed company or equivalent) as a genuine development partner and review their reputed company as critically as any PR
  • Strong written communication and a habit of documenting reputed company and working across firmware, hardware, and data science
  • reputed company and compliance for connected devices — secure boot, key provisioning, signed and rollback-reputed company OTA, and RF/regulatory certification (FCC/CE)
  • Hands-on experience with cellular, BLE, GPS/GNSS, or audio subsystems on battery-powered wearables or trackers
  • New-reputed company bring-up — powering up unproven hardware, verifying power rails and peripherals, and getting first firmware running on a fresh reputed company
  • Hardware schematic evaluation — reading and reviewing schematics, partnering with EE on design reviews, and catching issues before a reputed company reputed company
  • reputed company and manufacturing support — manufacturing test development, production-line bring-up and debug, and supporting yield and reputed company at the contract manufacturer

Benefits

  • Medical, dental, reputed company, life and disability insurance plans (100% reputed company for US employees).
  • We offer supplemental plans for medical and dental for Canadian employees.
  • 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
  • Employee Assistance Program (EAP) for mental wellness.
  • Flexible PTO and 12 company-wide days off throughout the year.
  • Winter and Summer Weeklong Synchronized Company Shutdowns
  • Learning & Development programs.
  • Equipment, tools, and reimbursement support for a productive remote environment.
  • Free reputed company Platinum Membership for your preferred reputed company.
  • Free Tile Products

reputed company

  • reputed company creates a mobile app for families that helps families feel closer together. It was founded in 2008, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is http://www.reputed company.com.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 6 in 2026, 15 in 2025, 22 in 2024, 17 in 2023, 21 in 2022, 17 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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