Staff Firmware Engineer, AI Native, Edge ML

Life360; United States; On-site; USD 143,000 - 262,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) match

Flexible PTO

Life360 Platinum Membership

Job summary

Life360 is seeking a Staff Firmware Engineer to own the on-device ML platform across our Tile and Pet GPS tracker lines. This role blends firmware mastery with edge ML, requiring deep embedded skills and the ability to ship end-to-end on-device inference.

You will work across firmware, app/cloud, and hardware teams to optimize power, memory, and latency while driving AI-native practices in an edge environment. Remote-first with hybrid collaboration in the US.

Qualifications

• 10+ years of firmware engineering in consumer hardware.
• Strong C/C++ for embedded systems with RTOS experience.
• Experience deploying ML models on microcontroller hardware.

Responsibilities

• Design and build on-device inference framework end-to-end.
• Integrate ML inference into resource-constrained RTOS firmware.
• Develop and test models on device within firmware constraints.
• Optimize for tight power, memory, and latency budgets.
• Drive alignment across firmware, hardware, data science, and ops.

Skills

Firmware engineering

C/C++

RTOS internals

Edge ML

Model quantization

Embedded debugging

Hardware drivers

Cross-functional collaboration

Education

Bachelor's degree in Electrical Engineering or Computer Science

Tools

TFLite Micro

CMSIS-NN

ExecuTorch

Job description

About Life360

Life360’s mission is to keep people close to the ones they love. Our category‑leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must‑have mobile‑based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote‑first employees. For more information, please visit life360.com . Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.

About the Team

The Connected Devices team at Life360 owns end‑to‑end device software readiness across our portfolio — firmware, app, and cloud engineering working as one team to ship the trackers and wearables that keep families connected to the people, pets, and things they care about most. We’re not just a firmware team: we own the full device software stack, from the hardware modules to the cloud, across the whole lifecycle — architecture and hardware bring‑up through mass production and post‑launch refinement. We’re moving toward a more intelligent hardware ecosystem, building Life360’s first on‑device intelligence — processing complex sensor data on the device itself, in real time, within tight power and memory budgets. We’re an AI‑Native engineering team: AI isn’t just a tool we use, it’s how we work — across specifications, code, test, review, data analysis and triage. Today that means firmware running across our Tile and Pet GPS tracker lines — devices shipping in the hundreds of thousands of units, each streaming continuous multi‑sensor telemetry — which is the scale this on‑device ML platform should be built to handle.

About the Job

We’re looking for a Staff Firmware Engineer to build and own Life360's on‑device ML platform — the reusable framework that lets any device in our portfolio sample sensor data, run inference on the edge, and act on it without draining the battery or blowing the memory budget. This is a hybrid role by design, and both halves are non‑negotiable. You are a firmware engineer first — deeply fluent in embedded systems and on‑device software, from RTOS internals and driver bring‑up to power management and debugging on real hardware. You are an Edge ML specialist second — you know how to get a model running, quantized and optimized, on a Cortex‑M‑class part with kilobytes to spare, whether it comes from Data Science or you build and train it yourself with modern, AI‑assisted tooling. The value of this role is that you own the whole path, from the sensor register to the inference result, without handing off the hard parts.

Salary

For candidates based in the US, the salary range for this position is $143,000 to $261,500 USD. For candidates based out of Canada, the salary range for this position is $207,000 to $242,500 CAD. Note: Please be aware that the job title for positions in Canada will be “Developer” in lieu of “Engineer.” We take into consideration an individual's background and experience in determining final salary; therefore, base pay offered may vary considerably depending on geographical location, job‑related knowledge, skills, and experience.

What You’ll Do

• Build and Own the On‑Device ML Platform – Design and build the reusable on‑device inference framework any Life360 device can adopt — the runtime, the model integration path, and the sampling and preprocessing pipeline — and make the platform‑level calls (runtime and model format, memory/flash budgeting, OTA model updates). Own it end to end: you architect it, implement it, and debug it when it misbehaves on a device in the field.
• Do the Core Firmware Engineering – Integrate inference into resource‑constrained RTOS firmware (Zephyr / 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 real hardware (oscilloscope, logic analyzer, JTAG) and drive cross‑layer issues to root cause across the firmware/hardware boundary. Carry regular firmware work when ML demand is light — a full share of features, bugfixes, field issues, and on‑call/triage.
• Develop and Ship Models on Device – Get models running within firmware constraints — from Data Science or built and trained yourself, increasingly with AI‑assisted tooling — handling quantization, operator support, and the latency/memory tradeoffs. Own the whole loop, from training output to validated on‑device behavior. You don’t take a model over the wall and hope.
• Optimize for Extreme Constraints – Squeeze inference into tight power, memory, and latency envelopes, and own the trade‑offs between model accuracy, power draw, and footprint — validated in the real world, not just on the bench.
• Set Direction, Work AI‑Natively, and Level Up the Team – Drive alignment across firmware, app/cloud, data science, hardware, and ops on how on‑device intelligence gets built here, and raise the team’s embedded‑ML fluency through code review, design docs, and pairing. Use AI tooling as a genuine development partner across firmware and ML, and help define what AI‑native looks like for embedded work.

What We’re Looking For

• Foundation – 10+ years of firmware engineering, taking complex consumer hardware from prototype through mass production, with a demonstrated track record of shipping at scale. Bachelor’s degree in Electrical Engineering, Computer Science, or a related field.
• Firmware Engineering – the core bar
  • Deep C/C++ for embedded systems and real fluency in RTOS internals (Zephyr, FreeRTOS, or equivalent).
  • Strong low‑level hardware skills — SPI/I²C/UART, DMA, interrupts, driver development from the datasheet up — plus hands‑on debugging (scope, logic analyzer, JTAG) and power/memory discipline.
• Edge ML
  • 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 Micro, CMSIS‑NN, ExecuTorch, or equivalent) and model optimization (quantization, pruning); able to develop and train models yourself, not only deploy someone else’s.
  • Solid grounding in the sensor data and signal‑processing pipelines that feed a model (IMU and similar).
• AI‑Native and Communication
  • You use AI coding tools (Claude Code or equivalent) as a genuine development partner and review their output as critically as any PR.
  • Strong written communication and a habit of documenting decisions and working across firmware, hardware, and data science.
• Nice to Have
  • Security and compliance for connected devices — secure boot, key provisioning, signed and rollback‑safe 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‑board bring‑up — powering up unproven hardware, verifying power rails and peripherals, and getting first firmware running on a fresh board.
  • Hardware schematic evaluation — reading and reviewing schematics, partnering with EE on design reviews, and catching issues before a board spin.
  • Factory and manufacturing support — manufacturing test development, production‑line bring‑up and debug, and supporting yield and quality at the contract manufacturer.

Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees).
• 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 Life360 Platinum Membership for your preferred circle.
• Free Tile Products.

Values

• We have a team of high integrity people you can trust.
• We communicate directly, even when it’s hard.
• We focus on building an exceptional experience for families.
• We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal‑opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying.