全职 Edge AI - Embedded Systems Engineer 工作, 薪水 up to SGD 6,000, PRISM AI STUDIO PTE. LTD. 公司招聘中 - Ricebowl

About the Role

We're building AI-powered solutions that run directly on physical hardware and edge devices wearable devices and vehicle-based systems among them. This is a hands-on engineering role for someone who's comfortable at the intersection of hardware and software, getting AI inference running reliably under real-world constraints of power, memory, latency, and environmental conditions.

You'll lead the technical development of our first wearable AI device deployment, then extend that capability to sensor-based systems in vehicle and industrial contexts as the program grows.

What You'll Do

• Lead end-to-end technical development of an AI enabled wearable device solution, from hardware integration through to field deployment
• Manage hardware-software integration, including device SDKs, drivers, firmware interfaces, and sensor APIs
• Design and implement AI inference pipelines optimised for edge compute constraints power, memory, and latency
• Evaluate, select, and implement edge AI frameworks such as ONNX, TFLite, TensorRT, or similar
• Develop and execute hardware-in-the-loop testing and validation protocols
• Extend the platform's edge AI capability to vehicle and sensor-based systems, including integration with onboard diagnostics and telematics data
• Document hardware integration processes, deployment playbooks, and maintenance procedures
• Stay current with developments in edge AI hardware, wearable computing, and embedded AI frameworks

What We're Looking For

Required:

• Degree in Computer Engineering, Electrical Engineering, Computer Science, or a related discipline
• 1–3 years' experience in embedded systems, edge AI or hardware-software integration
• Hands-on experience with embedded or edge devices wearables, IoT hardware, industrial devices, or similar
• Proficient with hardware communication protocols: I2C, SPI, UART, BLE, and device SDK integration
• Demonstrated experience deploying ML/AI models on resource-constrained or edge hardware
• Able to debug at the hardware-software boundary using appropriate embedded debugging tools
• Proficient in C/C++ for embedded systems, and Python for AI/ML pipeline development

Preferred:

• Experience with vehicle sensor systems or automotive telematics CAN bus, OBD-II, or similar in vehicle data protocols
• Experience with computer vision pipelines object detection, image classification, or scene understanding
• Familiarity with AR or wearable hardware platforms
• Exposure to Io platforms and sensor network architectures
• Experience with modern AI-assisted development tooling
• Prior work in field deployment of edge AI solutions in an industrial or logistics environment

What We Offer

• The opportunity to own and shape a strategic, growing capability from the ground up
• Direct collaboration with senior technical leadership on solution architecture and deployment strategy
• A hands-on role spanning both cutting-edge software and real physical hardware deployment

At CWTAS we shape the future driving our present with design and engineering as a basis, our team develops cutting edge computer vision technology using multiples sensors like depth cameras and lidar. As a young company, we look for those fresh and innovative minds that are ready to expand their horizons making fantasy into unbelievable and amazing products.

Come join the next Industry 5.0 changer!