[ES_JOBS_NET] Radar Scientist, Tomorrow.io, Golden, CO
Christine Wiedinmyer
christinew at ucar.edu
Tue May 12 12:53:26 MDT 2026
Radar Scientist
https://job-boards.greenhouse.io/tomorrow/jobs/7730648003
*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 participates in
the E-Verify program in all US states, as required by law.*
*At tomorrow.io <http://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. 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.*
*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 at tomorrow.io <jobs at 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.
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