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 regimes, allowing end users to have 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.

Digantara is seeking an AVP of Applied Mathematics and Algorithms to lead the development of cutting-edge SSA algorithms and deploy them in operational environments.

Why Us?

• Competitive incentives, galvanizing workspace, blazing team, frequent outings—pretty much everything you have heard about a startup + you get to work on space technology.

• Hustle in a well-funded startup allowing you to take charge of your responsibilities and create your moonshot.

Ideal candidate

• Someone who has demonstrated experience in leading mathematicians to solve complex, hard engineering problems to develop operationally relevant solutions.

Required Qualifications

• ~10 years’ experience in algorithm development.

• Proficiency in multiple mathematical methods like KFs, UKFs, Least Squares, numerical integration, GNN, random walk, Bayesian techniques, uncertainty quantification, uncertainty propagation etc.

• Extensive knowledge on utilizing mathematical methods to solve hard engineering problems and deploying it in operational environments.

• Ability and willingness to implement their expertise in a new field like SSA.

• Has lead team of at least 15.

Preferred Skills

• Proficiency in making algorithms computationally efficient.

• Demonstrated expertise in transforming an experimental code into a production code.

Responsibilities 

• Develop and execute strategies for developing algorithms to solve multiple problems within the SSA ecosystem.

• Create a culture that fosters acceleration in the algorithm development lifecycle.

• Be hands-on and street-smart in figuring out ways how to reach the current “state of the art” quickly.

• Once the current “state of the art” is achieved, figure out how to further improve the algorithms or create entirely new set of algorithms.

• Debugging intricate algorithms can take weeks or months sometimes, help your team in debugging their codes faster.

• Work on integrating multiple algorithms into a single unified solution.

• Work with software team to deploy algorithms in operational and production environments.

• Interact with software teams in reducing the time for transforming experimental code to production code.

• Implement computational optimization in the algorithms.

General Requirements 

• Ability to work in a mission-focused, operational environment.

• Ability to think critically and make independent decisions.

• Interpersonal skills to enable working in a diverse and dynamic team.

• Maintain a regular and predictable work schedule.

• Writing and delivering technical documents and briefings.

• Verbal and written communications skills as well as organizational skills.

• Travel occasionally as necessary.