Life360·about 3 hours ago
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app and Tile tracking devices 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 91.6 million monthly active users (MAU), as of September 30, 2025, and 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 that basically are family).
Life360 has more than 750 (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) regardless of any specified location above.
At Life360, our Firmware Team is integral to our mission of connecting families through our growing ecosystem of hardware products. We handle the full lifecycle of firmware from design to post-production enhancements, focusing on scalable and secure solutions that integrate seamlessly with mobile and cloud technologies.
We are currently embarking on a new strategic direction, moving toward a more intelligent hardware ecosystem. As we expand into new product categories and advanced sensing capabilities, this team is at the forefront of implementing Life360's first-ever on-device intelligence initiatives.
As a Staff Firmware Engineer, you will serve as a foundational architect and force multiplier for our new Machine Learning initiatives. While you are a firmware generalist capable of leading hardware bring-up and core system design, you bring a specialized expertise in Machine Learning (Edge AI).
You will be the primary bridge between our Data Science organization and hardware execution. Because this is a new technical frontier for Life360, you will be responsible for building the first-ever on-device ML pipelines, ensuring our next-generation of devices can process complex sensor data on the edge while maintaining the extreme battery efficiency and reliability our members expect.
The US-based salary range for this position is $156,000 to $261,500. We take into consideration an individual's background and experience in determining final salary; therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference
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 based on 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 creates a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the qualifications, you should still seriously consider applying!
#LI-Remote
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