Atmospheric Radiative Transfer Scientist

The R&D Team  is a dynamic mix of scientists and engineers. Our mission is to generate the best and most novel data and models across all times: historical, real-time, and forecast. The story just begins when the data hits our ingest and post-processing services. Every product that the user sees is the result of a pipeline of algorithms that needs to be run quickly and continuously, in an operational environment.

We are the team that builds the architecture behind the data and the models, preparing the weather analyses for the Product and Engineering team to serve our large and diverse customer base.

We are seeking an Atmospheric Radiative Transfer Scientist to develop and maintain our comprehensive instrument simulator software package. Tomorrow.io operates precipitation radar and the world's largest constellation of passive microwave sounder satellites. Simulations of measurements from these instruments, driven by high-resolution atmospheric datasets, are critical for validating instrument performance, retrieval algorithms, and performing trade studies for the next generation of Tomorrow.io

instruments (Deep Sky). You'll work with the instrument science team to improve products from Tomorrow.io's current constellation, and take a lead role in defining the next generation of satellites (Deep Sky)!

What you'll do:

• Take ownership of the instrument simulator software. Adapt it to new input datasets and instrument spectral bands. Improve handling of surface properties and particle scattering to match the state of the science.
• Work with the instrument science team to incorporate simulator improvements in data products and calibration/validation processes.
• Take the lead in instrument trade studies for our next generation of satellites.
• Be a part of regular "on call" rotations, and act as a first responder when incidents occur (alerting customers; triaging the underlying issue)

What you'll bring:

• Ph.D in atmospheric science, physics, or a related field
• Direct experience with modern, comprehensive atmospheric radiative transfer model software packages (e.g., CRTM, RTTOV, ARTS).
• Experience working with cloud-based environments and services (e.g., GCP, AWS, Azure) or high-performance computing (HPC) clusters
• Willingness to adopt to the rapidly changing landscape of coding using LLM tools like Cursor as well as how ML techniques can be applied in your area of expertise
• Strong communication skills, including presenting and distilling complex topics and findings to collaborators and stakeholders of diverse backgrounds
• Demonstrated ability to collaborate on cross-disciplinary teams, prioritize competing efforts, and deliver on schedule and budget

So, if you're looking to join a team that is not only at the forefront of innovation but also working towards building the biggest weather platform in the world, powered by the world's first rapid-revisit microwave sounder constellation, this is the place for you! If your experience is close but only fulfills some requirements, please apply. Tomorrow.io is on a mission to build a special company.

We are focused on hiring people with different backgrounds, perspectives, and experiences to achieve our goal.

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.

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