Senior​/Principal Computer Scientist, Space, Satellites and Remote Sensing Systems, Onsite

Senior/Principal Computer Scientist, Space, Satellites and Remote Sensing Systems, Onsite

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

Challenging work with amazing impact that contributes to security, peace, and freedom worldwide

Extraordinary co-workers

Some of the best tools, equipment, and research facilities in the world

Career advancement and enrichment opportunities

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*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://(Use the "Apply for this Job" box below)..gov

* These benefits vary by job classification.

What Your Job Will Be Like:

We are seeking computer scientists to design and develop software and algorithms for high throughput, high volume data processing missions. 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!

On any given day, you may be called on to:

Be part of software teams that deliver solutions for remote sensing systems, including the capture, processing, exploitation, visualization, and distribution of real-time space-based 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

Architect, develop, and optimize high performance software for real-time, distributed systems that include compute environments with CPUs, GPUs, and/or FPGAs

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

Due to the nature of this position onsite work is required.

Salary Range:

$117,500 - $235,700

* Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.

Qualifications We Require:

Qualification we Require

Bachelor's degree with a minimum of five (5) years of relevant experience.

Ability to obtain and maintain a DOE Q and SCI clearance

Qualifications We Desire:

The ideal R&D Computer Science candidate for Sandia National Laboratories will in addition possess the following:

Graduate degree in Computer Science or a highly related field plus one (1) year of relevant experience

Active DOE Q or DOD TS security clearance with the ability to obtain and maintain an SCI.

Proficiency in modern software development using C++ and/or Python in Linux-based environments, including experience with version control, debugging, testing, and performance-aware development practices.

Experience designing, training, evaluating, and deploying AI/ML-enabled computer vision solutions, including image processing, segmentation, object detection, classification, feature extraction, and related applications using neural networks, deep learning, or transformer-based architectures.

Familiarity with advanced data exploitation, sensor/data fusion, signal or image analytics, algorithm optimization, edge processing, or high-performance computing techniques across CPU, GPU, FPGA, or heterogeneous computing environments.

Experience developing, containerizing, and deploying high performance and scalable applications in cloud-native or hybrid computing environments, including exposure to technologies such as AWS, Kubernetes, Docker, Open Shift, CI/CD pipelines, or distributed computing frameworks.

Demonstrated ability to…