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High-Performance Computing Developer
2 months ago
This software engineering position will play a pivotal role in developing data science portals that integrate with high-performance computing (HPC) and machine learning (ML) workflows. The position will be part of a team responsible for designing, developing, and maintaining data science portals that facilitate the exploration and analysis of experimental data collected at the Advanced Photon Source (APS). These portals will serve as crucial tools for researchers, enabling them to access, visualize, and extract insights from scientific datasets.
Key Responsibilities- Collaborate with engineers, scientists, researchers, and stakeholders to understand requirements for data science portals and HPC and ML workflows.
- Design, develop, and implement interactive and user-friendly web interfaces for accessing and analyzing scientific data.
- Create and utilize data visualization tools to present experimental and computational results in a clear and intuitive manner.
- Implement and integrate with back-end functionality and workflows, utilizing large-scale computing and storage systems, to support data retrieval, processing, and analysis.
- Integrate machine learning models and algorithms into data science portals and workflows for data analysis.
- Ensure the security, scalability, and performance of data science portals.
- Conduct testing and debugging to ensure the reliability and functionality of applications.
- Stay up to date with the latest web development trends and technologies, particularly those relevant to scientific data visualization and analysis.
- Document development processes, procedures, and user guides for data science portals.
- Provide training and support to researchers on using the data science portals effectively.
- A foundation in computer science, computational/data science, mathematics, physics, or a related field.
- Experience with web development languages such as JavaScript (React, Angular, or Vue), HTML5, CSS3.
- Background in data visualization libraries/frameworks such as Plotly, Bokeh, etc.
- Experience with backend development using Python, Django, or similar technologies.
- Familiarity with RESTful APIs and database systems (MySQL, PostgreSQL, MongoDB, etc.).
- Knowledge and experience with software project management techniques such as revision control, build tools, and issue tracking.
- Strong analytical and problem-solving skills.
- Ability to think independently and innovatively to develop exceptional technical solutions.
- Strong verbal and written communication skills, and a proven ability to write research reports and publications.
- Strong organizational skills and attention to detail.
- Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.
- Understand, value, and promote diversity.
- Knowledge of scientific computing tools and libraries (NumPy, SciPy, Jupyter, etc.).
- Knowledge of advanced scientific visualization principals and tools (VTK, ParaView, etc.).
- Knowledge of scientific workflow principals and tools (Globus, etc.).
- Understanding of cybersecurity best practices for web applications.
- Familiarity with high-performance computing platforms.
- Passion for scientific research and an interest in synchrotron light source applications.
