Software Engineer specializing in payload command and control, tasking workflows, and mission scheduling for satellite systems. Developing software that manages payload operations for advanced satellite systems.
Responsibilities
Design and implement payload tasking and command-generation software, including payload modes, timelines, and configuration state tracking
Develop automated scheduling engines that incorporate orbital dynamics, payload constraints, resource limits, priority rules, environmental constraints, and partner-driven tasking inputs
Build payload C2 services, APIs, and microservices that interface with spacecraft flight software, ground systems, mission planning tools, and external data consumers
Integrate payload data workflows, including command generation, execution status, telemetry ingestion, and downstream processing triggers
Work closely with systems engineers to define payload command schemas, operational constraints, timing models, and verification logic
Collaborate with mission operations, data processing, and ground teams to ensure end-to-end payload readiness, from planning to product delivery
Develop simulators and test harnesses to validate payload behaviors, timelines, and scheduling algorithms
Support V&V activities, including interface testing, timeline validation, and participation in readiness reviews focused on payload operations
Ensure software follows best practices for accuracy, reliability, observability, scalability, and security
Requirements
Active Top Secret security clearance
Bachelor's or Master's degree in Computer Science, Software Engineering, Aerospace Engineering, or related technical field and 5+ years of software development experience, ideally involving mission-critical or real-time systems
Direct experience with tasking, scheduling, or command/control software, particularly for payloads or mission systems
Understanding of payload operations, resource modeling, timing constraints, and command definition
Experience developing APIs, services, and distributed architectures for operations or data-driven workflows
Familiarity with rule-based and algorithmic scheduling approaches, constraint modeling, or optimization frameworks
Ability to work closely with multidisciplinary engineering teams and external partners.
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