remote
AI/ML Systems Engineer New College Graduate - GlobalFoundries
Systems Engineer
Entry‑level AI/ML Systems Engineer responsible for designing, deploying, and optimizing machine learning models on GPU‑accelerated platforms using Python, TensorFlow, and PyTorch within a semiconductor manufacturing environment.
About the role
Key Responsibilities
- Develop and maintain end‑to‑end ML pipelines for semiconductor process optimization.
- Implement GPU‑accelerated inference and training workloads using CUDA and TensorFlow/PyTorch.
- Collaborate with hardware and software teams to integrate ML models into production silicon design workflows.
- Monitor model performance, troubleshoot issues, and iterate on architecture for scalability.
- Document code, models, and deployment procedures for reproducibility.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field.
- Knowledge of GPU programming (CUDA) and Linux system administration.
- Strong analytical skills and ability to work in a fast‑paced, cross‑functional team.
- Excellent communication skills and a passion for learning new technologies.
Skills
pythontensorflowpytorchcudalinuxmachine learning