Robotics Generalist

Skip is on a mission to make life joyful through powered movement.

Movement is a powerful way to build physical, mental and social health.

Yet it is elusive for 2 billion people due to age, injury, or disability.

We are building products that will restore mobility for millions and enable a new frontier of joyful movement experiences.

We want to build a future where a grandparent can easily outrun their grandkids and no one is left behind at the trailhead.

Skip is a 22-person early-stage start-up that spun out of Google X in 2023.

With deep cross-disciplinary expertise and key partnerships (e.g. with Arc’teryx) we are uniquely positioned to launch the first commercially successful wearable robotic device, the MO/GO, develop a platform to launch future Movewear products and transform millions of lives in the coming years.

We are seeking a senior robotics engineer to own the software that makes our wearable robots move.

You'll work across the full stack, from the on-device control loop running in real time on a person's body, to the broader software platform that supports it: data pipelines, device management, tooling, and everything in between

Some of the things you will work on:

• Architecting and implementing robotic software subsystems across our wearable robotics fleet, sharing components across different products and robot iterations.
• Ownership of core software and control features, including mechatronics firmware, motor control firmware, and platform features.
• Contribute to the real-time control loop, including sensing, decision making, logging, and safety monitoring / fault detection.
• Contributing to machine-learning-based methods across simulation, training, labeling, on-device inference, sensor data collection, and testing.
• Supporting and contributing to hardware-in-the-loop and on-body test frameworks that validate system behaviour across the full range of real-world conditions, including at device provisioning / factory bring-up.
• Collaborating with firmware, hardware, and software teammates to define interfaces, resolve cross-disciplinary tradeoffs, and catch integration failures early