remote
HPC Test Data Analysis Technology Development Engineer
Software Engineer
Lead the development of high‑performance computing solutions for test data analysis, focusing on anomaly detection, defect prediction, and scalable Docker deployments.
About the role
Key Responsibilities
- Design and implement HPC‑optimized algorithms for large‑scale test data analysis.
- Develop and refine anomaly detection models to identify defects early in the testing pipeline.
- Build and maintain Docker‑based microservices for data ingestion, processing, and model deployment.
- Collaborate with data scientists to integrate machine learning techniques into production workflows.
- Optimize performance and resource utilization across distributed computing environments.
Requirements
- Strong background in HPC and parallel computing frameworks.
- Proficiency in Python and experience with machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Hands‑on experience with Docker and container orchestration.
- Solid understanding of anomaly detection and defect prediction methodologies.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative setting.
Skills
data analysisdockermachine learningpython