Embedded Systems – Cloud Engineer
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Job Description
Embedded Systems & Cloud Engineer building firmware, device connectivity, and AWS pipelines for a Physical AI robotics company. Owning remote deployments and multimodal data collection across South Korea.
Responsibilities:
- Design, develop, and maintain firmware for wearable sensing devices
- Integrate microcontrollers and sensors and implement real-time data acquisition
- Build reliable device-to-cloud communication and data streaming for synchronized vision and tactile data
- Design and operate AWS infrastructure using EC2, S3, Lambda, and IoT Core
- Handle large-scale collection, storage, and processing of multimodal data with focus on scalability, security, and performance
- Develop APIs, ingestion services, and Python data pipelines for high-throughput, reliable processing
- Remotely deploy, monitor, and maintain device fleets and capture setups at real-world collection sites
- Convert 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 data collection infrastructure
- Act as technical owner of regional deployments
- 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, and low-level programming
- Hands-on AWS experience with EC2, S3, Lambda, IoT Core, and high-throughput, reliable data pipelines
- Solid software engineering experience in Python or similar, including APIs, data streaming services, and 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
- Strong ownership and ability to work independently in a remote-first, distributed environment
- Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience
- Fluent English required
- Korean or Mandarin is a strong plus
- Experience with robotics, tactile or force sensing, wearables, or IoT devices is a plus
- Experience building real-world data collection systems is a plus
- Exposure to ML data pipelines or datasets for robot learning is a plus
- Experience deploying and supporting hardware in the field, including remote device management, is a plus
Benefits:
- Remote-first work arrangement
- High ownership and fast iteration
- Opportunity to join an early-stage, venture-backed Physical AI company
- End-to-end ownership from device firmware to cloud
- Direct impact on datasets used to train next-generation robot manipulation models
- Real-world impact from day one
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