T2011 - Application Development Engineer

Arctic Slope Regional Corporation - Greenbelt, MD

Full-time - Entry Level

Greenbelt, MD

Support Activities for Mining

About the position

ASRC Federal InuTeq is seeking a Junior Software Developer (Python) to join the Data Science Group at NASA Goddard Space Flight Center. This entry-level position is ideal for individuals with strong computer science fundamentals who are eager to apply their skills to real-world challenges in earth and space observation. The role involves collaboration with scientists and engineers to develop tools and datasets that facilitate groundbreaking research using imagery from NASA satellites.

Responsibilities

• Designing, developing, and maintaining scientific software applications to process, analyze, and visualize remote sensing data.
• Collaborate with scientists and end-users to understand their needs and translate these into technical requirements.
• Write clean, maintainable, and efficient code for use in scientific research.
• Participate in code reviews, testing, and deployment pipelines to ensure software reliability and efficiency.
• Support the integration of software solutions with on-premises HPC environments and cloud platforms.
• Develop user-facing documentation and Jupyter notebooks detailing the functionality of software applications.
• Develop and implement machine learning (ML) models to extract insights from remote sensing data.
• Creating and maintaining automated testing pipelines.

Requirements

• Bachelor's degree in computer science or a related discipline.
• One (1) plus year of experience developing in Python, including experience with libraries such as NumPy, Pandas, and Matplotlib.
• Understanding of machine learning and data science concepts, with exposure to frameworks such as PyTorch, Tensorflow, or Scikit-Learn.
• Experience with version control systems like Git.
• Familiarity with Linux environments and basic scripting.
• Interest in learning about geospatial data and remote sensing applications.
• Strong problem-solving and analytical skills.
• Ability to work collaboratively on multidisciplinary teams.
• Eagerness to learn and adapt to new tools and technologies.

Nice-to-haves

• Exposure to geospatial data tools like GDAL or Rasterio.
• Experience with containerization tools like Singularity or Docker.
• Exposure to GPU programming using CUDA, Numba, or similar skills.
• Understanding of cloud services such as AWS (EC2, S3) or similar platforms.

Benefits

• Opportunities to work on impactful projects leveraging ASRC/NASA data and resources.
• Mentorship and professional growth in areas such as machine learning, remote sensing, and HPC.
• A collaborative and innovative work environment.
• Health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law.