Navigation, Sensor Fusion, and Estimation Engineer; Member​/Senior

Navigation, Sensor Fusion, and Estimation Engineer (Member/Senior)

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 401(k), 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 a highly skilled and motivated engineer with a strong background in navigation analysis and sensor fusion. The ideal candidate will possess extensive experience in applying advanced techniques in covariance analysis and Monte Carlo methods to develop, evaluate and enhance real‑time navigation systems. They will have a deep understanding of Kalman Filter design and implementation, along with a proven ability to derive and develop algorithms that solve complex engineering challenges of national security significance.

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

Develop innovative Navigation and Estimation algorithms from first principles to improve modeling and simulation analysis tools and real‑time embedded flight software

Integrate new sensors models, interfaces and other capability upgrades for flight software and analysis tools using modern testing and configuration management procedures

Perform navigation and estimation analysis on simulated and/or flight collected data

Document algorithm, software, and analysis results in white papers, presentations, and other data products

Collaborate and coordinate with internal and external organizations and team members to execute project tasks and milestones

Salary Range:

$102,400 – $199,700

* 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:

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 be granted a DOE Q clearance

Qualifications We Desire:

The ideal Electrical Engineering candidate for Sandia National Laboratories will in addition possess the following:

Graduate degree in Electrical Engineering or a highly related field where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).

Ability to work independently and collaborate well in a multidisciplinary team of designers and test engineers.

Outstanding verbal and written skills, including the ability to develop and present briefings that are clear and compelling.

Also, for this posting we are seeking individuals with the following experience:

Demonstrated knowledge of sensor fusion techniques, particularly Kalman Filters and multivariable multiplicative state estimation.

Working knowledge of six degrees of freedom dynamic modeling and analysis, including both translational and rotational motion, with the ability to derive dynamic equations of motion from first principles.

Understanding of inertial navigation techniques and Inertial Measurement Unit (IMU) sensor technology.

Experience with vehicle trajectory and navigation analysis techniques, such as covariance and Monte Carlo analysis.

Experience modeling and…