Senior Device Firmware Engineer
Listed on 2026-06-30
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Embedded Systems/ Firmware/ IoT, Software Engineer
Eight Sleep is the world’s first sleep fitness company. Our mission is to fuel human potential through optimal sleep. We use innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for the better.
With our flagship product, the Pod, we are addressing critical sleep issues such as temperature regulation, bed elevation, snoring reduction, and the wake-up experience. Hundreds of thousands of customers around the world sleep better every night thanks to the Pod.
But we’re just getting started. We’re committed to developing more groundbreaking products to tackle additional sleep problems, changing the role sleep plays in our lives forever. We’re excited about the journey ahead and the impact we can make as we continue to innovate and expand our offerings to fulfill our mission.
We are backed by leading Silicon Valley investors like YC Combinator, Founders Fund, Valor, and Khosla Ventures, and we have been recognized as one of Fast Company’s Most Innovative Companies in 2018, 2022, and 2023. The Pod was also recognized two years in a row by TIME’s “Best Inventions of the Year.” We currently sell the Pod in the United States, Canada, the United Kingdom, Europe, and Australia.
This role requires full time work out of our San Francisco office
Before you applyEight Sleep is an intense environment: we’re demanding and ambitious, which means we ask a lot of ourselves and one another. This means fantastic learning opportunities, achievements, and career growth, but it also requires a significant commitment. Our dedication, drive, and intensity rival those of Olympic athletes. At Eight Sleep, we embody Kobe Bryant’s mamba mentality: we always aim to be at the top 1% of what we do.
If you’re looking for a 9-5, this is not for you. Our employees report working up to 60 hours per week. If you want to be challenged and pushed harder than ever before, we invite you to apply.
Join our team as a Senior Device Firmware Engineer to help us bring current and next generations of the Pod and new hardware products to life. You’ll be a part of a small team designing and implementing solutions with high levels of autonomy to bring our members better sleep. Your work will go directly to our fleet of existing Pods with low friction and direct impact to the business.
Howyou’ll contribute
- Embedded Linux Development: Design, develop, and maintain system software, including systemd applications, kernel modules, and low‑level firmware for the Pod.
- Optimized ML Deployment: Work closely with our R&D team to optimize and deploy models for edge inference, ensuring they run efficiently and securely.
- Edge Inference and Streaming Data Processing: Develop and integrate real‑time ML inference and signal processing pipelines for low‑latency streaming analytics and intelligent event detection.
- Security and Trust: Implement advanced security techniques such as hardware‑protected key storage, secure boot, and trusted execution environments to safeguard device integrity.
- Manufacturing and Deployment: Partner with global teams, including manufacturing teams in China, to develop production tests and ensure high‑quality product launches.
- Craftsmanship and Attention to Detail: Strive for excellence in software design, reliability, and maintainability, ensuring robust and well‑documented implementations.
- 5+ years of experience in firmware and system software development with C/C++.
- Deep expertise in Embedded Linux, including Yocto, Bitbake, systemd, and kernel development.
- Proficiency in secure software development for IoT and embedded systems.
- Experience optimizing compute workloads in resource‑constrained environments.
- Willingness and ability to travel internationally as needed to support manufacturing and deployment.
- Experience deploying ML models on embedded systems with frameworks like Tensor Flow Lite.
- Familiarity with real‑time image processing, sensor fusion, or embedded ISP pipelines.
- Expertise in wireless communication standards (Bluetooth, Wi‑Fi, etc).
- Deep understanding of secure boot,…
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