ROLE
– Design, develop and maintain optimization framework to generate satellite tasking schedules
– Collaborate with business development, image management, and subsystem teams to translate requirements into scalable optimization models
– Implement design specifications into robust, modular math models and production-ready code
– Maintain and enhance existing models and scheduling frameworks to improve efficiency, scalability and adaptability
– Establish tools to monitor reliability and solution quality from the scheduling frameworks
– Work with the ground segment software team to deploy the models for day-to-day mission operations of the entire satellite constellation
– Take end-to-end ownership of the software development from design through implementation, testing and deployment

REQUIREMENTS
– M.Tech / MS / Ph.D in Aerospace Engineering, Operations Research, Industrial Engineering, Computer Science or equivalent
– 2+ years of relevant work experience building mathematical models around scheduling
– Strong grounding in numerical optimization techniques, with expertise in at least one of: convex optimization, integer programming, dynamic programming, or heuristic/metaheuristic methods
– Ability to understand, break down, and solve complex problems independently
– Familiarity with Deep Reinforcement Learning applied to scheduling/optimization
– REST APIs, cloud computing, or HPC environments

BENEFITS
– Health insurance coverage
– Unlimited leaves & flexible working hours
– Role-based remote work and work-from-home benefit
– Relocation assistance
– Professional Mental Wellness services
– Employee Stock Options for all hires