Early Career Computer Scientist - GEOINT, Onsite

About the role

We are seeking an professional in algorithm development for remote sensing systems to design and develop software for a high throughput, high volume data processing mission. Our team delivers creative solutions for sophisticated real-time decision support systems. Join our hard-working, multi-disciplinary team and start building the future today!

Responsibilities

• Be part of software teams that deliver solutions for remote sensing systems, including the capture, processing, exploitation, visualization, and distribution of real-time satellite sensor data.
• Propose and lead image processing and data-centric research and development projects with a focus on computer vision algorithms for the detection, tracking, and classification of observational targets.
• Develop and optimize high performance software for real-time, distributed systems.
• Develop and optimize the concept of operations for remote sensing systems.
• Develop test and validation strategies for remote sensing systems.
• Engage with diverse specialists in areas such as data fusion, signal and image processing, analytics, cloud computing, machine learning, modeling and simulation, service architectures, data management and visualization.

Requirements

• A Bachelor's degree in a relevant discipline, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.
• Ability to obtain and maintain DOE Q-level security clearance.

Qualifications

• The ideal R&D, S&E Computer Science candidate for Sandia National Laboratories will in addition possess the following:
• A Graduate degree in Computer Science or a highly related field where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).
• Strong software development skills and familiarity with modern software development practices and tools (e.g., Agile).
• Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams, and a passion to improve and expand technical skills.
• Experience with object-oriented software development in C++ or Python.
• Experience with Linux operating environments.
• Experience in delivering code to operational environments.
• Experience in utilizing and exploiting data from remote sensing systems.
• Experience developing AI-based computer vision applications (e.g., image processing, segmentation, detection, classification) to include understanding and use of CNNs, RNNs, and/or Transformers.
• Experience with data exploitation/mining/fusion algorithms, digital signal processing, or multi-core parallel computing in CPU/GPU/FPGA environments.
• Expertise with software/pipeline development or optimization in high-throughput data processing environments.
• Active DOE Q or DOD TS security clearance with the ability to obtain and maintain an SCI.

Skills

• Object-oriented software development in C++ or Python.
• Linux operating environments.
• Delivering code to operational environments.
• Utilizing and exploiting data from remote sensing systems.
• Developing AI-based computer vision applications (e.g., image processing, segmentation, detection, classification).
• Data exploitation/mining/fusion algorithms, digital signal processing, or multi-core parallel computing in CPU/GPU/FPGA environments.
• Software/pipeline development or optimization in high-throughput data processing environments.

Benefits

• Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home).
• Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance.

Pay

Salary Range $102,400 - $199,700

Schedule

Onsite work is required. Some travel may be required.