At Koko (formerly Totemic) we are a small team of 25 working on a mission to enable every older adult to thrive in their own home for their entire life. Our first product uses wireless signals and machine learning to passively monitor and improve well-being at home, without the use of wearables.
We are backed by Lightspeed, Khosla Ventures, YC, and Marc Benioff.
About Us:
Koko Home is on a mission to address the two most important and impactful trends in healthcare today: 1) meeting the needs of a rapidly aging population outstripping the system's capabilities to care for them; and 2) patients desire to age and be cared for at home.
The company’s product offering includes a digital care companion and enablement platform for senior living and home care. The solution integrates intelligent ambient sensing (radar), artificial intelligence (AI) and large language models (LLM's) to streamline caregiver-patient interactions, boost engagement, and empower patients with a better understanding of their care plans, leading to timely interventions that improve care while reducing overall care delivery costs.
Role:
We are seeking a highly skilled Dev Ops Engineer / System Engineer to join our dynamic team. This role will play a critical part in automating testing and provisioning infrastructure, ensuring device readiness, supporting pilots and demos, and contributing to feature development. This position requires a hands-on engineer, experienced in Python, Yocto Linux, MQTT, Conan, and AWS. The ideal candidate will be responsible for designing and building testing tooling, assembling devices, and performing quality testing of hardware and functionality.
Location: Los Angeles or Sunnyvale, CA.
Key Responsibilities:
Qualifications:
Preferred Qualifications:
Why Join Us:
How to Apply:
If you're ready to join a dynamic team at the intersection of AI, software, and hardware, we want to hear from you! Please apply today via Ycombinator, then email a cover letter and CV to Nicky at nicky @ kokohm . com
Self driving car radars, miniaturized and made to work in the home environment. We can see where people are in the home, use advanced machine learning to see what they are doing, and even determine heart rate/breathing rate wirelessly.
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