Manufacturing Engineer - Vancouver - Texavie

Description

Texavie ) is a fast growing startup with a mission to bring dexterity and tactile sensing to robotic hands, manipulators, humanoids, and physical AI, using our 5k1n technology. We are developing game-changing wearable and robotic systems that will be used to empower dexterity, accuracy, tactile sensing in humanoid and industrial robotic systems. Our 5k1n products provide a sense of touch to robots similar to human skin and help robots sense their environment, evaluate their grasp and be able to handle complex tasks, and manipulate objects with accuracy, repeatability and autonomy. We work with leading humanoid and robotic companies to bring our solutions to market, with significant potential for different industrial verticals including warehouse operations, advanced manufacturing, homecare, healthcare, agriculture, hospitality and security.

About Us

We are an award-winning high-tech startup 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 foundational models for dexterity and autonomy in humanoid and advanced robotic systems. Our solutions are being extended to robotic systems and humanoids for providing human-level dexterity, sense of touch and autonomy. We are developing AI foundation models that incorporate tactile sensing for dexterity and autonomy in humanoids and robotic systems.

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

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Position

We are looking for several exceptional and experienced candidates with significant interest and experience to make breakthroughs in AI data and software engineering of foundational models for robotic and humanoid systems 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 AI data and software systems and models for wearable devices and robotic systems focused on robotic end-effectors, dexterous hands, manipulators and overall humanoid, robotic system and wearable system designs.

Responsibilities:

• Development of AI data structures, algorithms, and software systems, for handling and storage of data from multimodal wearable devices including camera and computer vision systems, tactile gloves and sensors, movement sensors and robotic electronic skin systems for embodied robotics, humanoids and physical AI
• Gathering data in real environments, focused on complex dexterous hand movements and object manipulation, tagging data, structuring data and developing algorithms for data aggregation, labelling and cleaning
• AI data processing and development of foundation models for dexterous movements of hands focused on tactile sensing, computer vision and motion and environment data
• Implementation of model continuous training, learning and inference for real-time closed-loop operations, testing, and demonstrations of autonomous, dexterous robotic hand and body systems.
• Development of privacy, encryption, data protection, algorithm protection, reliable customer and user profiles that match industrial reliability and privacy standards.
• Work with software, cloud processing and storage providers for AI data storage, data analysis, real-time operation, and foundation model 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 Software Engineering, Computer, Computer Science, or Robotics Engineering
• 2+ year of industry experience working on related topics
• Strong experience in robotics data, multimodal data, tactile and movement data, operating systems, ROS, python, linux, android or other operating systems and platform software systems
• Strong experience in machine learning, reinforcement learning, imitation learning, training algorithms, inference algorithms, pre-training and multimodal training
• Well-versed in object oriented programming, data structures and algorithms
• Strong experience in socket programming, privacy and encryption tools and techniques, user profiles and customer profiles
• Experience in integrating with structured or unstructured databases and building, deploying and running services on Azure, Firebase, and AWS
• Strong debugging, troubleshooting, and problem solving skills
• Experience with toolboxes: Kafka, Spark, Django, SwiftUI, Android, React Native, AngularJS, C#, C++
• Experience in movement and biomechanics, vision and tactile data and its applications
• Experience in use of IMUs and other wearable sensors
• Experience in optimizing performance and memory usage for resource constrained embedded systems

Preferred Qualifications:

• Experience in efficient and real-time inference algorithm implementation, real-time calibration, and continuous reinforcement learning
• Experience in data streaming for real-time, closed-loop operation and machine learning and cloud data processing and storage
• Experience in computer vision and working with cameras and multimodal sensing inputs
• Hands on experience with signal integrity tools
• Experience in software systems using wired and wireless protocols for WiFi, Bluetooth
• Strong communication and documentation skills and ability to operate independently
• Strong problem-solving skills, big picture thinking skills and efficient work and project planning skills
• Strong communication skills and ability to work well in a team environment
• Familiarity with working with novel ideas, early stage prototype development and nuances related to early stage start-up