Job Description

[Position]

Intermediate R&D Engineer

[About Our Client]

Leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. San Diego Office, Research & Development hub for artificial intelligence and deep learning technologies.

[Job 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.

[Job Description]

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.

Requirements

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:

- Development of ML/DL models for optimization, predictive analytics, or process improvement.

- Deployment or scaling of ML/DL systems in production environments.

- Analysis of manufacturing or quality data using ML/DL techniques.

- Able to work in US without any Work Visa sponsor/transfer/Extension/ support, now and future

- Bilingual in English and Korean is a plus

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