Job description

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. What You’ll Do 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. What You Bring 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 qualification concepts for spacecraft, aerospace, or similarly demanding engineered systems. Awareness of spacecraft-level considerations including EMI/EMC, antenna field of view and placement, pointing and attitude knowledge, thermal environments, radiation, and platform-generated interference. Ability to translate technical and mission-performance goals into clear requirements, interfaces, test approaches, and verification plans. Strong collaboration and communication skills, particularly when working across engineering and scientific disciplines. A proactive and accountable approach to engineering work, with the ability to organize technical activities, identify issues, and drive them toward resolution. Sound engineering judgment and a willingness to learn, take on increasing ownership, and grow your technical depth. The Promise Joining Tomorrow.io as a GNSS Payload Engineer means: Make a measurable global impact — help develop space-based sensing technologies that improve weather forecasting and resilience worldwide. Work on real space hardware — contribute directly to GNSS payload development, integration, testing, launch, and on-orbit performance. Solve multidisciplinary engineering problems — work across GNSS, RF, spacecraft systems, atmospheric science, and mission operations. Grow your technical ownership — work alongside experienced engineers and scientists while taking increasing responsibility for payload performance and mission execution. Build with mission-driven teams — join an environment that values technical rigor, accountability, collaboration, and thoughtful execution. If your experience is close but doesn’t fulfill all requirements, please apply. Tomorrow.io is on a mission to build a special company. To achieve our goal, we are focused on hiring people with different backgrounds, perspectives, and experiences. This position requires access to technology that is controlled under U.S. export control laws and regulations. Accordingly, this position is restricted to U.S. citizens, permanent residents and protected individuals unless and until any required licenses are obtained. Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law. At tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization. This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. The anticipated salary range for this role i s $140-160k subjec t to local market and candidates skills and experience. Comprehensive health benefits, unlimited paid time off and other benefits included. Relocation assistance may be offered/available for certain roles. Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at jobs@tomorrow.io ___________________________________________________________________________________________ About Tomorrow.io: Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World, Tomorrow.io is the world's leading Resilience Platform™. Combining next-generation space technology, advanced generative AI, and proprietary weather modeling, Tomorrow.io delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io empowers organizations to proactively manage weather-related risks, opportunities, and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems, Tomorrow.io enables predictive, impact-based action for a safer, more resilient future. Learn more at Tomorrow.io. Ethos: Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first. How we roll: We believe that magic happens when people work together. The People of Tomorrow take ownership with a bias for action. We believe in transparency and directness, putting work before ego, and empathy. The People of Tomorrow have a can-do attitude, are resilient, and curious. They are growth oriented, value people striving to be experts, and love to have fun. Here, your success is achieved by your impact and deliveries and not by the hours you put in. We have flexible hours and unlimited vacation days policy. The People of Tomorrow show empathy, mutual respect and work as one diverse team. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

Requirements

Must-haves

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.
What You’ll Do
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 qualification concepts for spacecraft, aerospace, or similarly demanding engineered systems.
Awareness of spacecraft-level considerations including EMI/EMC, antenna field of view and placement, pointing and attitude knowledge, thermal environments, radiation, and platform-generated interference.
Ability to translate technical and mission-performance goals into clear requirements, interfaces, test approaches, and verification plans.
Strong collaboration and communication skills, particularly when working across engineering and scientific disciplines.

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Platform: greenhouse
Effort: quick

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Paid Time Off