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Commission Sensor Fusion Engineer Jobs in Washington

Senior Navigation Engineer

Washington, DC · On-site

$118K - $162K/yr

As a GNSS and Navigation Engineer, you will own one of the most mission-critical capabilities for ... Design tightly- and loosely-coupled GNSS/INS sensor fusion algorithms to maintain navigation ...

Senior Navigation Engineer

Washington, DC · On-site

$118K - $162K/yr

As a GNSS and Navigation Engineer, you will own one of the most mission-critical capabilities for ... Design tightly- and loosely-coupled GNSS/INS sensor fusion algorithms to maintain navigation ...

Support the developmentofnavigation and sensor fusion algorithms, and execute component-level test ... S. degree in Aerospace Engineering, Software Engineering, Electrical Engineering, Computer ...

Showing results 41-60

Commission Sensor Fusion Engineer information

What is the difference between Commission Sensor Fusion Engineer vs Calibration Engineer?

AspectCommission Sensor Fusion EngineerCalibration Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; experience with sensor integrationBachelor's or Master's in Electrical Engineering, Mechanical Engineering, or related fields; expertise in calibration techniques
Work EnvironmentAutomotive, robotics, or aerospace industries focusing on sensor data integrationManufacturing, automotive, or aerospace sectors focusing on sensor accuracy and calibration
Industry UsageUsed in autonomous vehicles, drones, and robotics for sensor data fusionUsed in vehicle manufacturing, aerospace, and industrial equipment for sensor calibration

The Commission Sensor Fusion Engineer focuses on integrating and optimizing multiple sensor data streams for accurate perception systems, while the Calibration Engineer specializes in ensuring sensors are accurately calibrated for precise measurements. Both roles require technical expertise but differ in their primary focus within sensor systems.

How to become a commission sensor fusion engineer?

To become a sensor fusion engineer, typically a bachelor's degree in electrical engineering, computer science, or a related field is required, with many roles preferring a master's or higher. Gaining experience in signal processing, robotics, or autonomous systems, along with proficiency in programming languages like C++ or Python and familiarity with sensor technologies and data fusion algorithms, is essential. Certifications in related areas or hands-on experience with sensor integration and fusion tools can enhance job prospects.

What are the most commonly searched types of Sensor Fusion Engineer jobs in Washington?

The most popular types of Sensor Fusion Engineer jobs in Washington are:

What are popular job titles related to Commission Sensor Fusion Engineer jobs in Washington?

For Commission Sensor Fusion Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Commission Sensor Fusion Engineer jobs in Washington look for?

The top searched job categories for Commission Sensor Fusion Engineer jobs in Washington are:

What cities in Washington are hiring for Commission Sensor Fusion Engineer jobs?

Cities in Washington with the most Commission Sensor Fusion Engineer job openings:

Infographic showing various Commission Sensor Fusion Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 67% Physical, 1% Hybrid, and 32% Remote job distribution.

Engineer, State Estimation (Dallas/San Diego/Boston/ DC/ San Fran)

Shield AI

Washington, DC

$120K - $250K/yr

Full-time

Re-posted 17 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
As a State Estimation Engineer, you will play a critical role on the GNC team, contributing to the development, optimization, and deployment of advanced sensor fusion and navigation algorithms for autonomous UAV operations in dynamic and contested environments. You will help design real-time sensor processing pipelines, integrate multi-sensor data for robust state estimation, and collaborate closely with autonomy researchers, software engineers, and hardware teams to ensure high system performance and reliability.
 
Your work will support the transition of cutting-edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission-critical applications.
What you'll do:
  • Develop and implement real-time state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation methods for GPS-denied or degraded environments.
  • Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks.
  • Design sensor processing pipelines focused on accuracy, robustness, and system-level fault tolerance.
  • Collaborate with autonomy, software, and hardware teams to ensure end-to-end integration of navigation and PNT systems.
  • Conduct simulation, lab testing, and field trials to evaluate algorithm performance under real-world conditions.
  • Stay current on advancements in state estimation and navigation technologies and help adapt new innovations into deployable solutions.
Required qualifications:
  • Typically requires a minimum of 3 years of relevant experience with a bachelor’s degree; or 2 years with a master’s degree; or 1 years with a PhD; or equivalent practical experience.
  • Familiarity with algorithms.
  • Proficient in C++11 or newer in real-time environments.
  • Comfortable working in Linux, with experience using standard command-line tools and scripting.
  • Strong written and verbal communication skills with a collaborative mindset.
  • Demonstrated success working in fast-paced development cycles and delivering high-quality results.
Preferred qualifications:
  • Experience developing and deploying real-time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors.
  • Strong understanding of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters).
  • Experience implementing inertial navigation algorithms in degraded or GPS-denied conditions.
  • Exposure to visual odometry or computer vision-based navigation approaches.
  • Experience optimizing code for performance on compute-constrained platforms.
  • Familiarity with CUDA or hardware acceleration techniques (e.g., FPGAs).
  • Experience transitioning navigation solutions from research into production environments.
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.