Robotics Generalist

THE ROLE:

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
• Contributing to system architecture decisions for current and future products, including our Parkinson's device and future Movewear platform
• Wear prototypes several hours a week to participate in data collection, on-body testing and provide feedback

Basic Qualifications:

• 5+ years' experience in robotics
• Proven track record of writing software that runs on hardware
• Experience in small teams, ideally in start ups; you’re willing to wear many hats and chip in across the board
• Experience with embedded systems -- you can write C/C++ and you understand what's happening at the hardware level
• Proficiency in Python and/or C++ for algorithm development, data analysis, and test scripting, including common AI-coding tools (and their pitfalls)
• Strong foundation in control systems
• Experience with sensor integration and validation (IMUs, encoders, force sensors, or similar)
• Ability to work at the Skip Bay Area office at least 3 days/week

Bonus Points:

• Experience with wearable robotics, exoskeletons, or prosthetics
• Knowledge of motor control (field-oriented control for BLDC’s) and actuator characterisation
• Embedded linux experience
• Knowledge of communication protocols (e.g. CAN)
• Experience with deep learning, especially for robotic systems
• Experience with actuator characterisation and integration
• Familiarity with FreeRTOS or other real-time operating systems
• Experience shipping consumer hardware through DVT/PVT and into production
• Personal motivation to improve human movement

This is a full time hybrid position working at the Skip office in the Dogpatch neighborhood of San Francisco.

Any and all offers of employment extended by Skip are conditional on candidates’ ability to provide satisfactory proof of eligibility to maintain full-time employment in the United States.