IoT & Cloud Infrastructure Engineer

This is a fully remote position, open to applicants in China.

📋 Description

• Design, develop, and maintain firmware for wearable sensing devices.

• Establish reliable communication and data streaming between devices and cloud services to synchronize vision and tactile data.

• Architect and manage the AWS stack for the large-scale collection, storage, and processing of multimodal data.

• Create APIs, ingestion services, and Python data pipelines to ensure high-throughput and reliable processing.

• Remotely deploy, monitor, and maintain the fleet of devices and capture setups at real-world data collection locations.

• Convert field issues into engineering solutions.

• Diagnose problems across the entire spectrum from device firmware to cloud deployment.

• Collaborate with hardware, ML, and data teams to establish system requirements.

• Contribute to the testing, documentation, and continuous improvement of the data collection infrastructure.

• Occasional travel to sites may be necessary.

⛳️ Requirements

• A minimum of 4 years of engineering experience in embedded systems and cloud environments.

• Proficient in embedded systems and firmware, including C/C++, RTOS, microcontrollers, real-time systems, sensor integration, and low-level programming.

• Practical experience with AWS services such as EC2, S3, Lambda, IoT Core, and the development of high-throughput, reliable data pipelines.

• Strong software engineering skills in Python or similar languages, focusing on APIs, data streaming services, and hardware-to-cloud integration.

• Good understanding of networking, security best practices, performance optimization, monitoring, and logging.

• Excellent debugging skills across hardware, firmware, and cloud layers.

• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

• Proficient in English is required; knowledge of Korean or Mandarin is a significant advantage.

• Experience with robotics, tactile or force sensing, wearables, or IoT devices is beneficial.

• Familiarity with building real-world data collection systems is a plus.

• Exposure to ML data pipelines or datasets for robot learning is an added advantage.

• Experience in deploying and supporting hardware in the field is desirable.

🏝️ Benefits

• Become a part of a pioneering team at the forefront of Physical AI, one of the fastest-growing sectors in technology.

• Take ownership of a critical system from end to end, including device firmware and cloud components.

• Your work will directly influence datasets used for training next-generation robot manipulation models.

• Enjoy high ownership, rapid iteration, and tangible real-world impact from day one.