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Work at a Portfolio Company

Sensors Lead

Sauron

Sauron

San Francisco, CA, USA
Posted on Jun 27, 2024

Who We Are

Sauron is the home security company of the future. Homeowners today lack compelling options when it comes to peace of mind against vulnerabilities, and total command and control of their home; there is no definitive, protective brand in the space. Leveraging cutting-edge AI, sensor technology, and nonlethal deterrence, Sauron brings next-generation technology to homeowners to protect their families and property. Incubated by the serial entrepreneur Kevin Hartz and Atomic, Sauron has raised an $18M seed round from leading venture capital firms and angel investors, including 8VC and Flock Safety CEO Garret Langley, to build the new perception system for the home.

The Role | Sensor Systems Architect

We are seeking a Systems Architect to build high performance systems supporting computer vision, machine learning, and photography applications that break ground in technology and user experience. This hands-on role offers an opportunity to work with and learn from teammates in different fields and contribute to exciting applications of custom machine vision, depth, and traditional imaging sensors.

What You Will Do

  • Define and build proof-of-concept and initial prototype hardware as needed

  • Coordinate and assist in bring-up, debug, production, test, calibration, and verification plans to ensure high quality results are delivered

  • Collaborate with computer vision algorithm teams as well as system & module teams to interpret and negotiate system hardware requirements

  • Propose and negotiate system architecture that can be multi-functionally supported in the timeframes vital to meet program objectives

  • Perform system analysis, scoping, and resourcing & technical tradeoff evaluations

  • Coordinate multi-functional work & dependencies to align with dynamic project goals

Who You Are

  • Experienced, dedicated engineer with initiative and a proven track record of developing sophisticated systems from definition through the project life cycle

  • Ability to quickly pick up and own new concepts and to contribute with innovative solutions

  • Experience integrating cameras into system electronic and mechanical architecture, with an understanding of optics/sensor/image pipeline preferred

  • Scripting skills and understanding of low level software (firmware & drivers in C or C++) a strong plus

  • Familiarity with training data requirements for machine learning, machine vision, computer vision, or deep learning a plus