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BrightAI Corporation

Senior/Staff Firmware Engineer

  • Seen live on BrightAI Corporation's site 2 days ago
  • Senior
Pay
Not stated
Location
San Francisco Bay Area
Open for
12+ days
First seen
Oct 23, 2026

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. BrightAI Corporation's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking BrightAI Corporation, so its true age is longer.

Last checked Nov 3, 2026.

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What it asks of you

7+ years of experience
“7+ years of experience in embedded software development, with a strong emphasis on low power design.” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Company Overview

BrightAI is a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation. Our platform processes visual, spatial, and temporal data from billions of real-world events—captured through edge devices, mobile sensors, and large-scale cloud infrastructure—to deliver intelligent, real-time decisions.

Responsibilities

  • Design, implement, and maintain embedded firmware with a strong emphasis on ultra-low power consumption.
  • Develop drivers and low-level firmware for microcontrollers (MCUs), sensors, and wireless modules (e.g., BLE, Zigbee, LoRa).
  • Collaborate with hardware engineers to define power budgets and validate low-power designs.
  • Implement and test power management techniques such as sleep modes, clock gating, and dynamic voltage scaling.
  • Perform power profiling and debugging using tools such as oscilloscopes, logic analyzers, energy analyzers and current probes.
  • Optimize code size and execution efficiency in resource-constrained environments.
  • Ability to work in a no-OS or lightweight RTOS environment
  • Participate in design reviews, code reviews, and contribute to technical documentation.
  • Ensure compliance with industry standards and best practices for embedded development.
  • Lead the integration of embedded communication protocols like I2C, SPI, and UART, facilitating robust data exchange across various embedded system components.

Skills and Expertise

  • BS/MS degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
  • 7+ years of experience in embedded software development, with a strong emphasis on low power design.
  • Proficiency in C/C++ for embedded systems.
  • Hands-on experience with low-power microcontrollers (e.g., ARM Cortex-M series, nRF52, Ambiq, MSP430).
  • Familiarity with RTOS concepts and experience with lightweight operating systems (e.g., FreeRTOS or Zephyr).
  • Deep understanding of hardware/software interaction and power management techniques.
  • Deep familiarity with source control (Git) and development workflows.

Bonus Criteria

  • Experience with wireless communication protocols (BLE, Zigbee, LoRa, etc.).
  • Knowledge of PCB schematics and the ability to work closely with hardware engineers.
  • Familiarity with version control systems (e.g., Git).
  • Experience with scripting languages (Python, Bash) for test automation.
  • Prior work on battery-operated or energy-harvesting devices.
  • Advanced skills in designing optimized solutions using C for embedded systems with stringent resource constraints.
  • Strong background in math-based programming, with the ability to apply linear algebra for complex tasks like digital signal processing and machine learning.
  • Experience in developing AI/ML solutions, with hands-on expertise in frameworks such as Edge Impulse, OpenCV and PyTorch for embedded applications.
  • Deep experience in system architectures, including event-driven and modular design approaches, as well as abstracting hardware layers (HAL, sensor fusion, application layers).
  • Proven experience in developing, maintaining, and scaling CI/CD pipelines, particularly with tools like GitHub Actions, to ensure high-quality, automated build and release processes.

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