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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 internally developed software‑defined radars — transforming how atmospheric data is captured and used worldwide.   We’re looking for a Radar Scientist focused on calibration, signal processing algorithms, and performance validation across ground and flight radar payloads. This role owns the theory, algorithms, and data-level behavior of the system, from internal calibration loops to on‑orbit product generation. The Radar Scientist will work closely with senior scientists and engineers, within a team responsible for ensuring key calibration and signal processing concepts are correctly implemented in the SDR and payload, ensuring that performance is validated at every development stage (near-field, far-field, and on‑orbit). What You’ll Do Assist in defining and developing internal radar calibration concepts, control, and monitoring Integrate calibration logic with Software Defined Radio (SDR) and payload control systems Support near-field and far-field calibration and validation campaigns  Define and develop flight radar signal processing algorithms Validate products against models and ground-test data Define control and monitoring parameters for calibration and signal processing subsystems Assist in defining on-orbit calibration and validation strategies Analyze early-orbit and routine operations data Translate calibration and signal processing requirements into SDR and hardware constraints Provide technical input into test plans, readiness reviews, and flight qualification What You Bring MS or PhD in Electrical Engineering, Physics, Applied Mathematics, or similar 2+ years of experience in radar theory and digital signal processing  Experience developing and validating calibration algorithms (Phased-array calibration is preferred) Proficiency in Python and/or MATLAB Experience working with large, multi-channel radar datasets Experience with SDR-based radar systems (spaceborne or airborne radar is preferred) L1/L1a product generation and validation experience is preferred Ability to work effectively within a mixed team of engineers and scientists, with respect for different technical perspectives Willingness to move fluidly between theory, simulation, and real system behavior Clear technical communication skills, including explaining assumptions, limitations, and trade-offs 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 pa