Intermediate R&D Engineer

Summary
We are seeking an Intermediate R&D Engineer to join our team. The candidate will be part of the core group driving
next-generation AI initiatives across manufacturing and industrial domains. Our team develops scalable ML/DL solutions
—including predictive modeling, reinforcement learning–based optimization, and high-performance inference—to
enhance production efficiency, quality, and automation.
As part of our focus on Physical AI, you will help design systems that not only predict outcomes but also control and
optimize real-world industrial processes. This includes developing AI-driven decision systems and internal optimization
tools that interact with physical systems, enabling intelligent, adaptive, and self-improving production operations.
You will collaborate closely with interdisciplinary teams across software engineering, robotics, systems engineering, and
manufacturing to deploy AI solutions that directly impact production performance and operational decision-making.

Responsibilities
- Design, train, and evaluate advanced ML/DL architectures and apply them to real-world industrial challenges.
- Build and maintain end-to-end data and model pipelines, including data preprocessing, model training, evaluation, deployment, and monitoring.
- Develop, optimize, and deploy ML/DL models for process optimization, predictive maintenance, and quality improvement in manufacturing environments.
- Implement and optimize models using ONNX and C++ for scalable, low-latency, production-grade inference.
- Develop internal Physical AI tools, including reinforcement learning–based controllers and predictive systems, to
optimize and control real-world industrial processes.
- Collaborate with cross-functional teams to integrate ML/DL solutions into manufacturing systems and ensure stable and reliable operation.
- Perform data-driven analysis and visualization to extract actionable insights and support decision-making.
- Continuously research and explore new technologies to advance ML/DL and Physical AI capabilities in industrial AI applications.

- Performs other duties as assigned.

Skills and Qualifications
- Master’s degree in Computer Science, Electrical Engineering, Industrial Engineering, Statistics, or a related field.
- Strong background in Machine Learning and Deep Learning, with hands-on experience in model development, training, and deployment.
- Proficiency in Python and C/C++, with familiarity in ML/DL frameworks such as PyTorch, TensorFlow, or JAX.
- Practical experience in one or more of the following:
o Development of ML/DL models for optimization, predictive analytics, or process improvement.
o Deployment or scaling of ML/DL systems in production environments.
o Analysis of manufacturing or quality data using ML/DL techniques.

Have at least one of the followings:
- Experience with SMT, semiconductor manufacturing, or other advanced production domains, with knowledge of
domain-specific data and processes.
- Proficiency in deploying and optimizing models using ONNX, LibTorch, or similar frameworks.
- Strong analytical, problem-solving, and collaboration skills, with the ability to deliver real-world impact through
ML/DL innovation.

Benefits
- Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)
- 401(k) retirement plan (Immediately 100% vested)
- Generous PTO and paid holidays