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R&D Computer Science Engineer, Autonomous Sensing and Perception - Onsite

Job in Albuquerque, Bernalillo County, New Mexico, 87101, USA
Listing for: Sandia National Laboratories
Full Time position
Listed on 2026-05-23
Job specializations:
  • Engineering
    AI Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 102400 - 199700 USD Yearly USD 102400.00 199700.00 YEAR
Job Description & How to Apply Below

R&D Computer Science Engineer, Autonomous Sensing and Perception - 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.

Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance.

What Your Job Will Be Like:

The selected candidate will perform software/algorithm research and development work focused on making orbital, aerial, and terrestrial sensors and their associated platforms and support equipment more autonomous through the application of cutting‑edge remote sensing and perception methods, with specific emphasis on analyzing confidence scores and metrics and enhancing the confidence calibration processes and tools associated with autonomous sensing frameworks.

The successful applicant will have experience in relevant technical areas such as image and signal processing, applied mathematics, software development, remote sensing, data exploitation, high‑performance computing, statistics, algorithm development, and/or radar sensor data.

Responsibilities include:

  • Conduct analysis of sensor data collections employing advanced statistical methods and mathematical techniques to extract meaningful insights.
  • Identify and explore potential quantitative approaches for autonomous information extraction/analysis suitable for higher‑confidence decision making.
  • Develop algorithms that will enable the autonomous processing of multiple live sensor streams in real time, in both data center and edge environments.
  • Implement and deploy high‑potential approaches in software, working closely with diverse teams of scientists and engineers from across Sandia and external partner organizations (government, academia, industry).

The role requires onsite work; some travel is required.

Salary Range:

$102,400 – $199,700 (salary range is estimated; actual salary determined after consideration of the selected candidate’s experience and qualifications).

Qualifications We Require:
  • 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 and SCI level clearances.
Qualifications We Desire:
  • Graduate degree in Computer Science or a highly related field with an independent research project as a graduation requirement.
  • Demonstrated 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 working with radar or optical sensor‑based measurements and exploitation.
  • Experience in analysis and algorithm development with large volumes of sensor data, including knowledge and experience in relevant programming languages such as Python, C, C++, MATLAB, etc.
  • Experience designing and developing robust software solutions, utilizing software engineering best practices and programming to enhance data processing efficiency, user interface functionality, and overall system performance.
  • Familiarity with data analytics and visualization, sense making, and multimodal data fusion.
  • Experience utilizing Git workflows (or similar) and familiarity with best practices for collaborative development.
  • Experience in traditional signal processing and digital signal processing techniques, including spectral analysis and Fourier analysis.
  • Experience with image processing using computer vision frameworks (e.g., OpenCV, Image

    J, ITK, scikit‑image).
  • Strong critical and creative thinking abilities with a proven capacity to analyze complex problems and develop innovative solutions as an effective member of a multidisciplinary team.
  • Demonstrated ability to operate independently and make informed decisions in a fast‑paced environment.
  • Demonstrated ability to communicate…
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