What Your Job Will Be LikeWe 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 RequireQualification 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 DesireThe 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, OpenShift, CI/CD pipelines, or distributed computing frameworks.
- Demonstrated ability to translate mission or customer needs into effective technical solutions through strong problem-solving, collaboration, and communication skills.
- Ability to work effectively in multidisciplinary and diverse teams, with a commitment to continuous learning, technical excellence, and expanding expertise in emerging AI, software, and computing technologies.
About Our TeamThe Real Time Data Processing Department develops software, algorithms, and distributed computer systems for real-time extraction of events in a remote sensing domain. Skills within the department include software engineering; signal and image processing; statistical inference; neural networks; data fusion; image registration; pattern recognition; radiometric calibration; compressive sensing; human-computer interfaces; data visualization; and design, implementation, deployment, operational user support, and maintenance of collaborative large complex software systems.
Posting DurationThis posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
