About the role
About Sesame Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
About
the Role Sesame is developing new consumer wearables whose purpose is to enrich the human-computer interface with novel interaction modes, including the use of new and available sensor systems. We are looking for a Systems Engineer to own the holistic performance of Sesame’s devices across the full stack—from hardware selection and integration through firmware, signal processing, and application behavior. The ideal candidate thrives in crossing the boundaries between disciplines to ensure product-level goals are translated into technical
requirements that deliver a magical experience in users' hands. You'll be the connective tissue between hardware, firmware, application, ML, and product teams, ensuring every layer works in concert from proof of concept prototypes to shipping in mass production.
Responsibilities: Sensing Architecture: Research, evaluate and recommend optimal sensor technologies and devices for various wearable applications, taking into account physical, electrical, and software capabilities along with cost, schedule, and user impact. End-to-end Performance: Own the end-to-end performance of Sesame devices’ sensor systems from prototyping to mass production, including latency, power consumption, thermal constraints, and reliability. System
Requirements & Test: Champion a high quality user-experience by defining system-level test plans and acceptance criteria and detailed, actionable specifications for designing and validating each layer of the stack. User data collection: Design and supervise a data collection strategy to gather ground-truth data sets necessary for algorithm and model development. Algorithm Design: Develop, test, and implement the signal processing, sensor fusion and calibration systems that translate raw sensor data into usable outputs. Model-sensor integration: Collaborate with Sesame’s ML team to determine how sensor data improves the quality of Sesame agents’ responses. Required