IoT & Cloud Infrastructure Engineer
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Job Description
IoT and cloud infrastructure engineer owning firmware, device-to-cloud systems, and AWS pipelines. Building multimodal robotics datasets for a Physical AI company.
Responsibilities:
- Design, develop and maintain firmware for wearable sensing devices
- Build reliable communication and data streaming between devices and cloud services for synchronized vision and tactile data
- Design and operate AWS infrastructure using EC2, S3, Lambda and IoT Core
- Develop APIs, ingestion services and Python data pipelines for high-throughput, reliable processing
- Remotely deploy, monitor and maintain the device fleet and capture setups at real-world collection sites
- Turn field issues into engineering fixes
- Troubleshoot issues across device firmware through cloud deployment
- Work with hardware, ML and data teams to define system requirements
- Contribute to testing, documentation and continuous improvement of the data collection infrastructure
- Occasional travel to sites may be required
Requirements:
- 4+ years of engineering experience across embedded systems and cloud
- Strong embedded and firmware skills: C/C++, RTOS, microcontrollers, real-time systems, sensor integration, low-level programming
- Hands-on AWS experience: EC2, S3, Lambda, IoT Core, and high-throughput, reliable data pipelines
- Solid software engineering in Python or similar: APIs, data streaming services, hardware-to-cloud integration
- Good grasp of networking, security best practices, performance optimization, monitoring and logging
- Strong 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
- Fluent English
- Korean or Mandarin is a strong plus
- Experience with robotics, tactile or force sensing, wearables or IoT devices is nice to have
- Experience building real-world data collection systems is nice to have
- Exposure to ML data pipelines or datasets for robot learning is nice to have
- Experience deploying and supporting hardware in the field is nice to have
Benefits:
- Join a very early team at the core of Physical AI, one of the fastest-growing fields in tech
- Own a critical system end to end, from device firmware to cloud
- Work directly shapes datasets used to train next-generation robot manipulation models
- High ownership, fast iteration and real-world impact from day one
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