Radar Scientist

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 delivers hyperlocal 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 softwaredefined radars transforming how atmospheric data is captured and used worldwide.

Were 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 onorbit 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 onorbit).

What Youll 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 doesnt fulfill all requirements please apply. 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.

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. participates in the E-Verify program in all US states as required by law.

At 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 commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. Anticipated salary range for this role is $115k - $135k subject 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.

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

Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World is the worlds leading Resilience Platform. Combining next-generation space technology advanced generative AI and proprietary weather modeling delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies empowers organizations to proactively manage weather-related risks opportunities and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems enables predictive impact-based action for a safer more resilient future. Learn more at .

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.