Digantara is a leading Space Surveillance and Intelligence company focused on ensuring orbital safety and sustainability. With expertise in space-based detection, tracking, identification, and monitoring, Digantara provides comprehensive domain awareness across all regimes, enabling end-users to gain actionable intelligence on a single platform. At the core of its infrastructure lies a sophisticated integration of hardware and software capabilities aligned with the key principles of situational awareness: perception (data collection), comprehension (data processing), and prediction (analytics). This holistic approach empowers Digantara to monitor all Resident Space Objects (RSOs) in orbit, fostering comprehensive domain awareness.

The Space Weather Engineer will develop, validate, and deploy scalable space weather algorithms and decision-support systems that enable reliable satellite operations, mission planning, and predictive space environment analysis.

Ideal Candidate

• Master's or Ph.D. in Physics, Space Physics, Astrophysics, Geophysics, Applied Mathematics, Aerospace Engineering, Data Science, or a related discipline.

• Strong research or industry experience in space weather, heliophysics, space physics, or data-driven scientific modeling.

• Proven ability to develop computational models, scientific algorithms, and data processing workflows for complex analytical problems.

Roles & 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.

• Contribute to research initiatives, technical publications, white papers, proposals, and innovation programs.

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.

Preferred Qualities

• In-depth understanding of space weather phenomena and their impact on ground-based and space-based systems.

• Experience with computer modeling, statistical analysis, large-scale scientific datasets, forecasting models, and numerical simulations.

• Familiarity with scientific data formats such as NetCDF, CDF, HDF5, FITS, and time-series data structures.

• 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.

• Experience building real-time data processing pipelines and operational workflows.

• Strong technical writing, documentation, and scientific communication skills.

General Requirements

• Ability to work independently while collaborating effectively within multidisciplinary teams.

• Strong analytical thinking and attention to detail.

• Excellent verbal and written communication skills.

• Ability to prepare technical documentation, reports, and presentations.

• Willingness to work in a fast-paced research and engineering environment.

• Ability to travel occasionally as required.

Job Location: Hebbal, Bengaluru