GNSS Payload Engineer

Tomorrow.io is a leading weather intelligence and climate resilience platform helping organizations and governments make better decisions in a world of increasing weather volatility. By combining proprietary satellite technology, advanced AI forecasting models, and actionable analytics, Tomorrow.io delivers hyper-local weather insights that protect lives, strengthen operations, and build climate resilience globally.

Our space program is core to this mission. We are building and operating a weather observation constellation powered by next generation sensing technologies - transforming how atmospheric data is captured and used worldwide.

Tomorrow.io is seeking a GNSS Payload Engineer to support the development, integration, verification, and on-orbit performance of GNSS payloads for our weather observation constellation.

In this role, you will work at the intersection of GNSS, RF systems, spacecraft engineering, and atmospheric science. You will help translate mission and scientific objectives into instrument requirements, support payload performance analysis and verification, and contribute throughout integration, test, launch, and operations.

This is an ideal opportunity for an engineer with strong GNSS/RF fundamentals and practical experience with receiver or payload systems who is ready to take growing ownership of complex space hardware and mission performance.

• Support the development, integration, verification, and on-orbit performance assessment of GNSS payload systems.
• Translate mission and scientific data needs into payload requirements, interfaces, performance budgets, and verification plans in collaboration with senior engineers and atmospheric scientists.
• Support GNSS and RF performance analyses, including link budgets, receiver sensitivity, C/N0, signal quality, interference, timing, and measurement-error assessments.
• Support the design, characterization, and validation of GNSS receivers, RF front ends, antennas, timing references, and signal-processing interfaces.
• Evaluate payload performance drivers including antenna gain and patterns, multipath, EMI/EMC, oscillator stability, thermal drift, spacecraft pointing and attitude knowledge, and platform interference.
• Demonstrate understanding of payload integration and test activities, including RF signal simulation, hardware-in-the-loop testing, environmental testing, and test-data analysis.
• Demonstrate understanding of the effects of the space environment, including thermal and radiation impacts on RF electronics, oscillators, and receiver performance.
• Work across payload, spacecraft, software, systems, and science teams to identify technical risks and resolve integration and performance issues.
• Establish and maintain clear technical requirements, interfaces, verification documentation, test results, and engineering analyses.
• Support payload activities throughout the lifecycle, from design and integration through launch, commissioning, and on-orbit operations.

• 4-7+ years of hands-on engineering experience developing, integrating, testing, or operating GNSS, RF receiver, satellite payload, airborne sensing, or comparable signal-measurement systems.
• Strong fundamentals in GNSS signals and receiver operation, including acquisition and tracking, C/N0, link budgets, sensitivity, observables, and signal-quality metrics.
• Experience with one or more of the following: GNSS receivers, RF front ends, antennas, timing references, oscillators, or signal-processing interfaces.
• Working knowledge of RF and GNSS performance characterization, calibration, and validation.
• Understanding of measurement-error sources and performance drivers such as multipath, interference, oscillator stability, timing accuracy, thermal effects, and antenna performance.
• Familiarity with RF link-budget, sensitivity, noise, or interference calculations and the ability to contribute to and review these analyses.
• Experience supporting complex hardware/software integration and test activities.
• Exposure to RF signal simulators, hardware-in-the-loop testing, environmental testing, or analysis of payload test data is highly valuable.
• Familiarity with environmental…