Robotic Hardware Engineer

Robotic Hardware Engineer

Texavie () is a fast growing company with a mission to bring ultimate dexterity and tactile sensing skin to complex humanoid and robotic systems, specifically physical or embodied AI, using our 5k1n gloves, wearables and robotic sensing skin. We are developing game-changing wearable and robotic products that will be used to empower dexterity, accuracy, tactile sensing in humanoid and industrial robotic systems.

Our 5k1n products give a sense of touch to robots similar to human skin and help robots be aware of their environment and evaluate their grasp and able to handle complex tasks and manipulate objects with accuracy. We work with leading humanoid and robotic companies to bring our solutions to market, with significant potential for impact on different industrial verticals including advanced manufacturing, home-care, healthcare, agriculture, hospitality and security.

About Us

We are an award-winning high-technology company based in Vancouver, BC, Canada, with experience in the areas of flexible electronics, advanced sensors, smart textile, robotics, machine learning, and artificial intelligence. Our 5k1n solutions provide unparalleled accuracy in capturing human movements and tactile force data that can be used to tele-operate, train and develop large language models (LLMs) for dexterity and autonomy in humanoid and advanced robotic systems.

Our solutions also have applications in rehabilitation, movement assessment, and healthcare beyond robotics.

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Position

We are looking for an exceptional and experienced candidate with significant interest and experience to make breakthroughs in robotic hardware and embodied sensing and electronics to join our team in a leading position. The successful candidate will be reporting to our management and product development teams to collaborate, design, innovate, integrate, and validate robotic hardware and software systems focused on real-time control, data collection, tele-operation, visualization and breakthrough physical AI application and robotic manipulation case developments.

Responsibilities:

• Development of electronic hardware, integrated advanced sensors for wearable devices and robotic electronic skin systems for embodied robotics, humanoids and physical AI.
• Testing and validation of electronic hardware, firmware, sensor arrays and integrated components in real-time and closed-loop scenarios.
• Development and implementation of firmware, embedded programming designed for working with embodied hardware and integrated sensors.
• Develop automated testing equipment, jigs and methods to ensure firmware and hardware's reliability, accuracy and durability, and test and validate durability and reliability.
• Work with manufacturers, suppliers, chip makers, and partners for developing large scale manufacturing, parts and sourcing.
• Work with other team members to gather data and develop and help with software, algorithms, data analysis, demo and LLM developments.
• Teamwork to achieve overall objectives of the projects, stick to milestones and product targets.
• Be open to new ideas, incorporate feedback, enjoy start-up culture and ready for bringing new breakthroughs to bring products to market. Lots of growth potential.
• Be ready for a fast pace work environment and collaborate with leading humanoid and robotic companies.
• Enjoy a fun, productive, and diverse team environment and engage with different teams.
• Self-starter, initiating projects, taking ownership and do what it takes to get the job done.

Minimum Qualifications:

• BS or Graduate Degree in Electrical, Computer, Computer Science, Mechatronics or Robotics Engineering
• 2+ year of industry experience working on related topics
• Experience with robotic systems, embedded sensors, robotics interactions, processor architecture, analog and digital circuit design and various communications protocols such as I2C, UART, SPI, USB, MIPI, I2S, etc.
• Strong experience in ROS, python or other operating systems and platform software systems
• Experience in movement and biomechanics applications
• Experience in use of IMUs and other wearable sensors
• Experience in optimizing performance and memory usage for…