Staff Firmware Engineer, AI Native, Edge ML

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Develop and implement Life360’s reusable on-device inference framework, covering runtime, model integration, sampling, and preprocessing pipelines.

• Make strategic platform choices regarding runtime and model format, memory/flash budgets, and over-the-air model updates.

• Design, implement, and troubleshoot the platform on devices deployed in the field.

• Incorporate inference into resource-constrained firmware such as Zephyr or FreeRTOS.

• Manage low-level drivers, DMA data paths, SPI/I²C interfaces, and middleware.

• Perform hardware debugging using tools like oscilloscopes, logic analyzers, and JTAG.

• Investigate and resolve firmware/hardware cross-layer issues down to the root cause.

• Regularly handle firmware feature enhancements, bug fixes, field issues, and on-call/triage tasks.

• Deploy, quantize, optimize, and validate machine learning models on-device.

• Optimize the balance among model accuracy, power consumption, memory usage, and latency.

• Coordinate efforts among firmware, app/cloud, data science, hardware, and operations teams regarding on-device intelligence.

• Elevate embedded-ML and AI-native development proficiency through code reviews, design documentation, and collaborative work.

• Deliver 2–3 on-device ML features to the Pet GPS fleet and diagnose production issues based on device logs.

⛳️ Requirements

• Over 10 years of firmware engineering experience in bringing complex consumer hardware from prototype to mass production.

• Proven history of shipping consumer hardware at scale.

• Bachelor’s degree in Electrical Engineering, Computer Science, or a related discipline.

• Extensive expertise in C/C++ for embedded systems.

• Proficient understanding of RTOS internals, including Zephyr, FreeRTOS, or similar.

• Strong low-level hardware knowledge, specifically with SPI, I²C, UART, DMA, interrupts, and driver development based on datasheets.

• Practical debugging experience with oscilloscopes, logic analyzers, and JTAG.

• Knowledge of power and memory management in embedded systems.

• Demonstrated experience in deploying ML models on microcontroller-class hardware for a shipping product.

• Hands-on familiarity with TFLite Micro, CMSIS-NN, ExecuTorch, or comparable technologies.

• Experience in model optimization techniques, including quantization and pruning.

• Ability to independently develop and train machine learning models.

• Understanding of sensor data and signal processing pipelines, including IMU data.

• Regular use of AI coding tools such as Claude Code, Cursor, or similar.

• Critical evaluation of AI-generated code and AI-assisted model outputs.

• Excellent written communication and documentation skills across firmware, hardware, and data science domains.

• Preferred qualifications include experience with secure boot, key provisioning, signed and rollback-safe OTA, FCC/CE certification, cellular, BLE, GPS/GNSS, audio, new-board bring-up, schematic evaluation, manufacturing test development, and production-line support.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability insurance plans (fully covered for US employees).

• Additional medical and dental coverage options for Canadian employees.

• 401(k) plan with a company matching program available in the US.

• RRSP with DPSP plan for Canadian employees.

• Employee Assistance Program (EAP) focused on mental wellness.

• Flexible Paid Time Off (PTO).

• 12 company-wide holidays throughout the year.

• Winter and Summer Weeklong Synchronized Company Shutdowns.

• Opportunities for Learning & Development.

• Provision of equipment, tools, and reimbursement to support a productive remote work environment.

• Complimentary Life360 Platinum Membership for your preferred circle.

• Free Tile Products.

• Equity options.

• Competitive salary and benefits package.