Space Weather Engineer

About the Role

The Space Weather Engineer at Digantara will be responsible for developing, validating, and deploying scalable space weather algorithms and decision-support systems that enable reliable satellite operations, mission planning, and predictive space environment analysis.

This role requires a strong research or industry background in space weather, heliophysics, space physics, or data-driven scientific modeling, with a proven ability to develop computational models, scientific algorithms, and data processing workflows for complex analytical problems.

As a Space Weather Engineer, you will work closely with multidisciplinary teams to integrate models and processing pipelines into production systems, support the design, testing, deployment, and operational readiness of space weather technologies, and evaluate emerging technologies and research developments within the space weather domain.

Key Responsibilities

• Design, develop, validate, and maintain scalable algorithms to quantify the impact of space weather on satellite operations.
• Process, analyze, and interpret ground-based and space-based space weather datasets.
• Collaborate with astrodynamics, software, data science, and operations teams to integrate models and processing pipelines into production systems.
• Support the design, testing, deployment, and operational readiness of space weather technologies and supporting infrastructure.
• Define qualitative and quantitative requirements for deploying space weather sensing systems to improve prediction capabilities.
• Evaluate emerging technologies and research developments within the space weather domain to drive continuous innovation.
• Prepare technical documentation, reports, visualizations, and presentations for both technical and non-technical stakeholders.

Skills & Qualifications

• Bachelor's, Master's or Ph.D. in Physics, Space Physics, Astrophysics, Geophysics, Applied Mathematics, Aerospace Engineering, Data Science, or a related discipline.
• Strong research background or practical experience in space weather, solar and heliospheric physics, space physics, orbital mechanics, or scientific data analysis.
• Experience developing scientific algorithms, computational models, or forecasting techniques.
• Strong analytical and problem-solving skills with the ability to work on complex scientific datasets.
• Proficiency in Python and scientific computing libraries including NumPy, SciPy, and Pandas.
• Experience with parallel computing techniques and performance optimization.
• Working knowledge of Linux environments and version control systems such as Git.
• Exposure to machine learning techniques for space weather prediction, anomaly detection, or scientific modeling.

What You'll Learn

As a Space Weather Engineer at Digantara, you will have the opportunity to develop a deep understanding of space weather phenomena and their impact on ground-based and space-based systems, as well as gain experience with computer modeling, statistical analysis, large-scale scientific datasets, forecasting models, and numerical simulations.

You will also have the chance to work with cutting-edge technologies and research developments within the space weather domain, and contribute to research initiatives, technical publications, white papers, proposals, and innovation programs.

This role offers a unique opportunity for growth and learning, with the potential to make a significant impact on the field of space weather and satellite operations.

Resume Tip

When applying for this role, be sure to highlight your experience with scientific data analysis, computational modeling, and data processing workflows, as well as your proficiency in Python and scientific computing libraries such as NumPy, SciPy, and Pandas.

Additionally, be prepared to discuss your research background or practical experience in space weather, solar and heliospheric physics, space physics, orbital mechanics, or scientific data analysis, and how you have applied these skills to complex analytical problems.

Finally, be sure to showcase your strong analytical and problem-solving skills, as well as your ability to work effectively in multidisciplinary teams.