Embedded Systems & Cloud Engineer
Pragmatike · Remote · South Korea · South Korea / Busan · South Korea / Pangyo · South Korea / Seoul · Vietnam · China · South Korea / Daejeon ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (South Korea)
- Embedded + AWS Cloud
- Physical AI / Robotics
- Senior level (4+ years)
- Fluent English required
This early-stage venture-backed company creates high-fidelity datasets for robot manipulation by capturing synchronized vision and touch data. You will own the infrastructure that enables this, connecting low-cost wearable sensing devices to scalable cloud services.
Working remotely as the technical lead for your region, you will bridge hardware, machine learning, and data teams to ensure reliable field deployments and data processing.
What you'll do
- Design and maintain firmware for wearable sensing devices using microcontrollers
- Build reliable communication streams between devices and cloud services
- Operate AWS infrastructure including EC2, S3, Lambda, and IoT Core
- Develop Python APIs and ingestion pipelines for high-throughput data processing
- Remotely deploy and monitor device fleets at real-world collection sites
- Troubleshoot issues across the entire stack from firmware to cloud
- Collaborate with hardware and ML teams to define system requirements
What you'll need
- 4+ years of engineering experience in embedded systems and cloud
- Strong skills in C/C++, RTOS, and microcontroller programming
- Hands-on experience with AWS services like IoT Core and Lambda
- Solid software engineering abilities in Python for API development
- Good understanding of networking, security, and performance optimization
- Ability to debug across hardware, firmware, and cloud layers
- Fluent English communication skills
- Bachelor's degree in Engineering or Computer Science or equivalent experience
Nice to have
- Experience with robotics, tactile sensing, or IoT wearables
- Background in building real-world sensor fusion data systems
- Familiarity with ML data pipelines for robot learning
- Experience with remote device management and field support
Stack
- C/C++
- Python
- AWS EC2
- AWS S3
- AWS Lambda
- AWS IoT Core
- RTOS
How you'll work
- Remote-first policy based in South Korea
- Full-time employment
- Occasional travel to collection sites may be required