嵌入式系统与云工程师
Embedded Systems & Cloud Engineer
职位地点：以远程为主，韩国（首尔、 Pangyo、釜山、大田）
工作类型：全职
入职时间：尽快
经验要求：4年以上
语言要求：英语流利，韩语或中文为佳
行业：机器人/实体AI/IoT
关于该职位
Pragmatike正在为一家早期阶段、获得风险投资的实体AI公司招聘，该公司正在构建机器人在现实世界中运行所需的数据层。
目前大多数机器人的训练数据仅基于视觉。但抓取、插入和处理物体依赖于接触、力和滑动，而相机无法捕捉这些信息。我们的客户通过低成本可穿戴传感设备和摄像头，从真实的人类工作中捕获同步的视觉和触觉数据，并将其转化为用于训练和评估机器人操作模型的高保真数据集。
这是一个需要亲自动手的工程岗位。你将负责使现场数据收集工作的完整技术链：从传感设备上的固件到云端管道，用于大规模的数据摄入、存储和处理。你将作为你所在地区的技术负责人远程工作，与硬件、机器学习和数据团队紧密合作。
你将负责的工作
- 固件：设计、开发和维护可穿戴传感设备的固件（微控制器、传感器集成、实时数据采集）。
- 设备到云端：构建设备与云端服务之间可靠的通信和数据流，用于同步的视觉和触觉数据。
- 云基础设施：设计并运营AWS架构（EC2、S3、Lambda、IoT Core），处理大规模的多模态数据收集、存储和处理，重点关注可扩展性、安全性和性能。
- 数据管道：用Python开发API、摄入服务和数据管道，实现高吞吐量、可靠的数据处理。
- 设备群与部署：远程部署、监控和维护用于真实场景数据收集的设备群和采集设置，并将现场问题转化为工程解决方案。可能需要偶尔前往现场。
- 全栈调试：排查从设备固件到云端部署的整个链条中的问题。
- 协作：与硬件、机器学习和数据团队合作定义系统需求，并参与测试、文档和数据收集基础设施的持续改进。
我们寻找的人选
- 在嵌入式系统和云领域有4年以上工程经验。
- 强大的嵌入式和固件开发能力
查看英文原文
Location: Remote-First, South Korea (Seoul, Pangyo, Busan, Daejeon)
Employment: Full-Time
Start Date: ASAP
Experience: 4+ years
Language: Fluent English required, Korean or Mandarin is a strong plus
Industry: Robotics / Physical AI / IoT
ABOUT THE OPPORTUNITY
Pragmatike is recruiting on behalf of an early-stage, venture-backed Physical AI company building the data layer that robots need to operate in the real world.
Most robot training data today is vision-only. But grasping, inserting and handling objects depends on contact, force and slip, which cameras cannot see. Our client captures synchronized vision and touch data from real human work, using low-cost wearable sensing devices and cameras, and turns it into high-fidelity datasets used to train and evaluate robot manipulation models.
This is a hands-on engineering role. You will own the full technical chain that makes data collection work in the field: from the firmware running on the sensing devices to the cloud pipelines that ingest, store and process the data at scale. You will work remotely as the technical owner of deployments in your region, collaborating closely with hardware, ML and data teams.
WHAT YOU'LL DO
- Firmware: Design, develop and maintain firmware for wearable sensing devices (microcontrollers, sensor integration, real-time data acquisition).
- Device-to-cloud: Build reliable communication and data streaming between devices and cloud services for synchronized vision and tactile data.
- Cloud infrastructure: Design and operate the AWS stack (EC2, S3, Lambda, IoT Core) handling large-scale collection, storage and processing of multimodal data, with a focus on scalability, security and performance.
- Data pipelines: Develop APIs, ingestion services and data pipelines in Python for high-throughput, reliable processing.
- Fleet & deployments: Remotely deploy, monitor and maintain the device fleet and capture setups used at real-world collection sites, and turn field issues into engineering fixes. Occasional travel to sites may be required.
- Full-stack debugging: Troubleshoot issues across the whole chain, from device firmware to cloud deployment.
- Collaboration: Work with hardware, ML and data teams to define system requirements, and contribute to testing, documentation and continuous improvement of the data collection infrastructure.
WHAT WE'RE LOOKING FOR
- 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 data pipelines built for high throughput and reliability.
- 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, and comfort in fast-paced, experimental environments.
- Strong ownership and the 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. Korean or Mandarin is a strong plus.
NICE TO HAVE
- Experience with robotics, tactile or force sensing, wearables or IoT devices.
- Experience building real-world data collection systems (sensor fusion, time synchronization, multi-camera capture).
- Exposure to ML data pipelines or datasets for robot learning.
- Experience deploying and supporting hardware in the field, including remote device management.
WHY JOIN
- 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.
- Your work directly shapes the datasets used to train next-generation robot manipulation models.
- High ownership, fast iteration and real-world impact from day one.
Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.