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R&D Computer Engineering & Autonomous Systems - Algorithmic and Machine Learning Engineer for Intrusion Detection Systems (Early/Mid-Career) - Onsite

Sandia National Laboratories

Albuquerque, USA

Job posting number: #7237842 (Ref:Sa693235)

Posted: May 12, 2024

Job Description

About Sandia:

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 vacations, 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://www.sandia.gov*These benefits vary by job classification.

What Your Job Will Be Like:

We are seeking a highly motivated engineer to assist with a broad range of challenging technical problems associated with intrusion detection of physical threats to national assets from unauthorized people, vehicles, and autonomous platforms (drones or unmanned aerial vehicles). The successful candidate will work in an innovative, multi-disciplinary team environment to develop and integrate solutions for our national security!

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

  • Formulate algorithmic and machine learning approaches to solve data analysis and target localization and classification tasks. Write clean, efficient, and well-documented code for robotic systems.
  • Develop machine learning models and integrate them into autonomous platforms.
  • Design and implement robotic systems for various applications such as surveillance and tracking.
  • Assist other staff as a contributor on both customer and internally funded projects.
  • Work in a sensor testing and data collection team, in both indoor and outdoor field settings.
  • Analyze and visualize large datasets from intrusion sensors, UAS, and other sources.
  • Develop and execute test plans, integrate hardware and software, conduct experiments, and analyze results to advise government sponsor decisions.
  • Troubleshoot issues with existing code and collaborate with colleagues to resolve technical challenges.
  • Write proposals for internally or externally funded R&D projects.
  • Summarize and present results to other staff and sponsors and develop papers and briefings for publication.
  • Collaborate with cross-functional teams to identify project requirements and develop solutions that meet those needs.
  • Stay up-to-date with emerging trends and technologies in robotics, machine learning, and UAS technology.

Due to the nature of the work, the selected applicant must be able to work onsite.

Qualifications We Require:

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, Mechanical Engineering, Optical Science, Robotics, or related STEM field. A higher-level degree (MS, PhD) in relevant field may also be considered in lieu of Bachelor's degree. Equivalent experience in lieu of degree must be directly related experience that demonstrate the knowledge, skills, and ability to perform the duties of the job.
  • Ability to obtain and maintain a DOE Q-level security clearance.

Qualifications We Desire:

  • Strong knowledge of computer vision, deep learning, and other machine learning techniques.
  • Strong written communication skills (e.g., published research in technical journals)
  • Desire to work on solutions to National Security problems, especially in counter-autonomy and physical security system applications.
  • Ability to work in a fast-paced environment with multiple priorities and tight deadlines.
  • Demonstrated ability to perform machine learning related activities such as pipeline development, model explainability, and uncertainty quantification.
  • Strong teamwork and leadership skills.
  • Ability to travel domestically and internationally as needed (less than 15% of the time).
  • Experience in the following:
  • Python, ROS, and other scripting and scientific computing languages (R, C++, Java, C#)
  • Simulation software such as Gazebo.
  • Simulation engines such as Unreal or Unity.
  • 3D modeling software.
  • Linux/Unix operating systems.
  • FPGAs.
  • Familiarity with embedded systems and microcontrollers.
  • Multi-sensor data fusion and coordination.
  • Active DOE Q-level or DOD equivalent security clearance.

About Our Team:

The Mission of department 6534 is to counter evolving autonomous threats to key national facilities and to improve the performance of physical security systems protecting those sites. We are part of a larger group focused on Autonomy and Unmanned Systems. We address real-world problems through research, development, testing, and evaluation of components and systems to advance the science of physical security. This enables customers to mitigate threats to these facilities by improving the ability to sense, assess, track, and respond to physical incursions. Our work addresses current physical security operational challenges and evolving threats such as unmanned aircraft systems (UAS). We specialize in the testing and evaluation of Counter-UAS (C-UAS) systems, which counter the danger posed by UAS, and we are the C-UAS test agent for DOE, NNSA, and DHS.

Posting Duration:

This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time.

Security Clearance:

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.

NNSA Requirements for MedPEDs:

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.

If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

Job ID: 693235

Job Family: RD

Regular/Temporary Position: R

Full/Part-Time Status: F

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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