Astrodynamics Engineer

Ideal Candidate

• 4–6 years of experience in astrodynamics, orbital mechanics, Space Situational Awareness (SSA), or related aerospace domains.
• Strong expertise in computational astrodynamics, orbit determination, orbit propagation, and mathematical modeling for operational space systems.
• Demonstrated experience mentoring 1-2 junior engineers, researchers, or interns while driving technical execution across projects.

Roles & Responsibilities

• Design, develop, validate, and optimize advanced mathematical algorithms for Space Situational Awareness applications.
• Lead the development of orbit determination, orbit propagation, conjunction analysis, and orbital prediction capabilities using observations from ground-based and space-based sensors.
• Drive architectural improvements to astrodynamics software modules, ensuring scalability, computational efficiency, and operational robustness.
• Support the design, integration, testing, deployment, and operationalization of SSA systems and mission-critical technology stacks.
• Conduct research on emerging techniques including machine learning, artificial intelligence, cloud computing, and advanced numerical methods for SSA applications.
• Mentor junior engineers and interns through technical reviews, knowledge sharing, and day-to-day project guidance.
• Collaborate closely with software, data science, operations, and product teams to integrate astrodynamics capabilities into production environments.
• Contribute to technical proposals, white papers, research publications, and intellectual property initiatives.
• Stay abreast of advances in astrodynamics, orbital analytics, and emerging space technologies to continuously improve platform capabilities.

Qualifications

• Bachelor's, Master's, or Ph.D. in Astrodynamics, Aerospace Engineering, Physics, Mathematics, Computer Science, or a related discipline.
• 4–6 years of experience developing astrodynamics solutions, orbital mechanics software, or Space Situational Awareness systems.
• Strong foundation in computational astrodynamics, perturbation theory, orbital mechanics, numerical methods, vector algebra, and scientific computing.
• Experience developing production-quality analytical software using Python and modern engineering practices.
• Strong analytical, mathematical, and problem-solving capabilities.

Preferred Qualities

• Demonstrated proficiency in Python, scientific computing libraries, and parallel programming techniques.
• Experience working with astrodynamics tools such as GMAT, STK, FreeFlyer, Orekit, or equivalent platforms.
• Familiarity with Linux-based environments, Git, and collaborative software development workflows.
• Understanding of probability, statistics, estimation techniques, and control theory.
• Experience optimizing computational algorithms for large-scale orbital datasets.
• Strong technical writing skills with experience preparing engineering documentation, technical reports, research papers, or operational guidelines.
• Prior experience mentoring engineers, researchers, or interns within technical teams.

General Requirements

• High ownership mindset with the ability to independently lead complex technical initiatives.
• Strong communication and collaboration skills across multidisciplinary engineering teams.
• Ability to balance hands-on technical execution with mentorship responsibilities.
• Strong documentation and presentation skills for technical and non-technical audiences.
• Willingness to continuously learn, innovate, and contribute to engineering excellence.
• Ability to travel occasionally as necessary.

Job Location

Hebbal, Bengaluru.