2 months ago
Base Salary
$143k - $262k/yr
Responsibilities
- Design and build a reusable on-device inference framework covering runtime, model integration, sampling, preprocessing, memory and flash budgeting, and OTA model updates.
- Architect, implement, deploy, and debug the platform on devices in the field.
- Integrate inference into Zephyr or FreeRTOS firmware while maintaining stability, scheduling, and power efficiency.
- Develop low-level drivers and DMA, SPI/I²C, and middleware data paths, and debug firmware and hardware issues using physical instrumentation.
- Deploy, quantize, optimize, and validate models on resource-constrained microcontroller hardware while balancing accuracy, power, latency, and footprint.
- Contribute to regular firmware features, bug fixes, field issues, on-call, and triage when ML work is lighter.
- Set technical direction for on-device ML and align firmware, app, cloud, data science, hardware, and operations teams.
- Ship 2–3 on-device ML features to the Pet GPS fleet and root-cause production issues using device logs.
- Use AI tools across firmware and ML development and raise the team’s embedded-ML and AI-native engineering fluency through reviews, documentation, and pairing.
Requirements
- 10+ years of firmware engineering experience taking complex consumer hardware from prototype through mass production and shipping at scale.
- Bachelor's degree in Electrical Engineering, Computer Science, or a related field.
- Deep C/C++ embedded-systems experience and strong familiarity with RTOS internals such as Zephyr or FreeRTOS.
- Experience with SPI, I²C, UART, DMA, interrupts, driver development, hands-on hardware debugging, and power and memory optimization.
- Demonstrated experience deploying ML models on microcontroller-class hardware in a shipping product.
- Hands-on experience with TFLite Micro, CMSIS-NN, ExecuTorch, or equivalent embedded inference frameworks, plus quantization and pruning.
- Ability to develop and train models, and experience with sensor-data and signal-processing pipelines such as IMU data.
- Daily use of AI coding tools such as Claude Code or Cursor, with critical review of generated output.
- Strong written communication and experience documenting technical decisions across firmware, hardware, and data science.
- Preferred experience includes connected-device security and compliance, cellular, BLE, GPS/GNSS, audio subsystems, new-board bring-up, schematic review, manufacturing test, and production-line debugging.
Benefits
- Remote-first work environment, available remotely within the US and Canada.
- Medical, dental, vision, life, and disability insurance; US employee plans are 100% paid and Canadian employees receive supplemental medical and dental plans.
- 401(k) with company matching in the US, or RRSP with DPSP in Canada.
- Employee Assistance Program for mental wellness.
- Flexible paid time off and 12 company-wide days off.
- Winter and Summer Weeklong Synchronized Company Shutdowns.
- Learning and development programs.
- Equipment, tools, and reimbursement support for a productive remote environment.
- Free Life360 Platinum Membership and Tile products.
Tech Stack
CC++
Categories
About Life360
Life360 builds a family safety platform that combines a mobile app with Tile Bluetooth trackers and a pet GPS tracker for location sharing, driving insights, crash detection, and emergency dispatch. It monetizes through subscription memberships, hardware device sales, and advertising. The company is headquartered in San Mateo, California, is dual-listed on NASDAQ and the ASX, owns Tile, and serves over 100 million monthly active users across more than 180 countries.