This role is ideal for someone who thrives at the intersection of space operations, RF systems, and software-driven telemetry and control.

Responsibilities:

• Lead daily and long-term payload operations, including performance monitoring, anomaly resolution, and optimization of on-orbit communications systems.
• Support mission design and execution, including link budget validation, mission configuration, and payload commissioning.
• Develop and maintain software tools and dashboards for payload telemetry, trending, and health monitoring.
• Define and implement telemetry and telecommand (TT&C) strategies to ensure safe and reliable operations.
• Coordinate cross-functionally between mission operations, ground software, and RF hardware teams to ensure seamless command and control.
• Perform data analysis of our payload and TT&C performance across the fleet to ensure consistent performance and health of our satellites.
• Participate in mission rehearsals and payload readiness reviews, contributing to mission planning and operations documentation.
• Assist in defining and developing automation strategies for on-orbit payload control and fault detection.

Requirements:

• B.S. or M.S. in Electrical Engineering or related technical field.
• 0–7 years of experience in satellite operations, mission engineering, or RF systems engineering.
• Proficiency in Python and comfort developing telemetry visualization or automation tools.
• Experience with telemetry databases, command systems, or mission control software.
• Ability to diagnose and resolve complex system-level issues across hardware and software boundaries.
• Solid understanding of RF systems, modulation/demodulation, and link budgets.
• On call support for payload and TT&C systems, up to one week per month.
• Willing and able to obtain a security clearance.
• Excellent written and verbal communication skills, with a collaborative mindset.

Bonus:

• Experience in geostationary satellite payload operations.
• Familiarity with ground system architectures and RF test instrumentation.
• Experience with software development tools such as Git.
• Knowledge of embedded systems or spacecraft flight software interfaces.
• Experience with automation frameworks or machine learning applied to telemetry analysis.

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