National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal-Level Scientist - Satellite Sensor Science and Crosscutting Technology

ERT
Mansfield
1 year ago
Applications closed

Related Jobs

View all jobs

Principal C++ Engineer

Principal Scientist

Principal Software Developer

Principal Software Engineer

Principal Software Engineer

Principal Pricing Analyst

Background
NOAA’s mission is to understand and predict changes in climate, weather, oceans, and coasts, and to conserve and manage coastal and marine ecosystems and resources. Within NOAA, the Center for Satellite Applications and Research (STAR), a division of NOAA’s National Environmental Satellite, Data, and Information Service (NESDIS), plays a crucial role in ensuring the quality and reliability of environmental satellite measurements. These measurements are vital for forecasting the weather, environmental monitoring, and numerous other applications. STAR achieves this through rigorous calibration and validation processes, comparing satellite data with ground truth data and independent measurements. STAR’s comprehensive approach ensures that NOAA’s satellite data is of high quality, meets user needs, and supports accurate environmental monitoring and prediction.

The sensor science and crosscutting technology theme within STAR supports research and development for NOAA’s satellite sensor payloads, ensuring data quality and preparing for future instruments. This involves developing mathematical models and algorithms to interpret satellite measurements, enhancing our understanding of Earth's systems and their impact on weather and climate. STAR facilitates the transition of satellite data and technologies from research to applications, enabling end users to make informed decisions. STAR also collects in situ observations for sensor calibration, product validation, and data fusion with satellite measurements, aiding in the development and maintenance of satellite instruments and products while mitigating risks. These efforts help develop and sustain satellite instruments and products while reducing risks.

Position Description
ERT, Inc is seeking talented individuals interested in supporting work at the Center for Satellite Applications and Research (STAR). Multiple positions at a variety of education and experience levels will be available. Duties include the following:

Will lead small teams of scientists and software/system engineers in successful performance of the task requirements. Will work as part of collaborative teams to support the system/software design engineering and development of calibration tools and interfaces, and life cycle processing, maintenance, and stewardship of the JPSS/GOES-R series and other Sensor Data Records (SDR) including instrument and data product quality monitoring in support of the NESDIS/STAR integrated calibration/validation program. Will work closely with STAR SDR teams as well as inter-Agency collaborations and international partners on the development and maintenance of instrument and data product quality monitoring systems. This will include:JPSS Satellite Instrument Cal/Val:This involves calibration and validation for instruments like the Advanced Technology Microwave Sounder (ATMS), Cross-track Infrared Sounder (CrIS), Visible Infrared Imaging Radiometer Suite (VIIRS), and Ozone Mapping and Profiler Suite (OMPS) on various JPSS satellites. Activities include managing cal/val tasks, supporting operational calibration, investigating anomalies, improving data quality, and maintaining calibration parameters and tools.Integrated Cal/Val System (ICVS):The ICVS supports NOAA satellite instrument monitoring, expanding to include future instruments. It involves daily monitoring of instrument health and performance, anomaly detection, and root-cause analysis.GOES Instrument Cal/Val:This supports the GOES Calibration Working Group (CWG) in tasks such as operational calibration, anomaly investigation, and developing calibration tools and software.Radio Occultation Cal/Val:STAR supports the NOAA radio occultation program, including developing data processing algorithms, validating atmospheric profiles, and monitoring data quality.MetOp Instrument Cal/Val:This involves supporting the calibration of NOAA instruments on MetOp satellites, including operational calibration, anomaly investigation, and tool development.Non-NOAA Sensor Cal/Val:STAR assesses and integrates non-NOAA sensors to complement NOAA satellite observations, including evaluating data from international and commercial partners.Radiative Transfer Models (RTM):STAR supports the development and improvement of radiative transfer models, which are crucial for sensor performance analysis and data assimilation.Small Spacecraft (SmallSat) Sensor Cal/Val:This involves calibrating and validating sensors on SmallSats, contributing to the quality assessment of these instruments.Data Assimilation:STAR supports data assimilation activities, including evaluating the impact of satellite observations on weather forecasting and improving assimilation techniques.Space Weather Instrument Cal/Val:STAR supports the calibration of space weather instruments on GOES satellites, including pre-launch and post-launch activities.Ocean Sensor Cal/Val:This involves calibrating ocean remote sensing instruments, monitoring instrument stability, and conducting field experiments.Risk Reduction:STAR promotes applied research to leverage next-generation satellite sensors, supporting advanced algorithm development and data integration for operational forecasters. Will integrate the existing and developing codes that are relevant to the instrument calibration, validation, and health status monitoring. Will perform software development and system administration to ensure instrument and data product quality monitoring packages are working properly under different IT environments. Will identify and quantify designed system goals, recommend creation of alternative system design concepts, and verify the design is properly built and integrated to the requirements.

Required Skills

11+ years of applied science, software engineering and programming experience in satellite related applications (advanced degrees can offset multiple years of required experience). Experience in instrument calibration and validation. At least two of the following, or similar, computer programming languages on Unix/Linux platforms: FORTRAN, C/C++, Java, Python, IDL, MatLab or similar languages. Experience with common data formats such as netCDF and HDF. Software configuration and system administration abilities are recommended. Knowledge of, and/or background in, radiative transfer and/or AI/Machine Learning are also a plus.

Must be able to pass a background investigation to obtain a security badge to enter the applicable government facility.

Education
At least a BS in atmospheric science, physical science, computer science, related discipline, or equivalent. Positions at the BS, MS, and PhD-level will be available.

Benefits
All full time employees are eligible for the following benefits upon starting: Medical, Dental, Vision, 401(k), Paid Time Off, and 11 Paid Federal Government Holidays.

ERT is a VEVRAA Federal Contractor and Equal Opportunity/Affirmative Action employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.