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Sandia National Laboratories · 16 hours ago

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

Albuquerque, NM

Full-time

Onsite

Mid, Senior Level

$102K/yr - $200K/yr

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. The role seeks a highly skilled engineer with a strong background in navigation analysis and sensor fusion to develop innovative algorithms and integrate new sensor models for flight software and analysis tools.

GovernmentInformation TechnologyNational Security

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

Kalman FiltersSensor FusionCovariance AnalysisMonte Carlo MethodsMATLABC/C++Dynamic ModelingInertial NavigationGPS/GNSS TechnologiesVerbal CommunicationWritten CommunicationTeam CollaborationProblem Solving

Required

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

Preferred

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

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 simulating aerospace and dynamic systems in MATLAB and C/C++

Demonstrated knowledge of object-oriented programming methods and practices, software development processes, unit testing, and requirements verification

Knowledge of Global Positioning System (GPS) and other Global Navigation Satellite Systems (GNSS) technologies, principles, and signal processing techniques

Experience with navigation sensor hardware interfaces, data acquisition, and analysis; examples include GPS/GNSS, odometers, altimeters, IMUs, cameras, LIDAR, radio frequency beacons, etc

Experience with developing, implementing, and testing control algorithms on electromechanical systems

Demonstrated experience in deriving and implementing numerical algorithms and performing quantitative engineering analysis