Shield AI

3 weeks ago

Principal Engineer, State Estimation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Develop and deploy advanced state-estimation and sensor-fusion algorithms for autonomous UAV navigation in dynamic, contested environments. Build real-time sensor processing pipelines integrating IMUs, GNSS/GPS, visual odometry, and additional sensors to improve robustness, accuracy, and failover performance. Partner across autonomy, software, and hardware teams, and lead simulation, lab testing, and field validation while transitioning research into mission-ready production solutions.

Location: Dallas

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Develop and implement advanced state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation techniques for denied environments.
•Design and optimize state estimation frameworks integrating IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar systems.
•Build real-time sensor processing pipelines for UAV platforms with robustness, accuracy, and failover performance.
•Collaborate with autonomy, software, and hardware teams to ensure seamless integration of state estimation components within autonomous systems.
•Lead simulation, lab testing, and field validation to assess state estimation performance across varying operational conditions.

Pay and Benefits

Salary: USD 274,560 - 411,840 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Typically requires 12+ years of relevant experience with a bachelor’s degree (or 10 years with a master’s degree; or a PhD with 8 years experience) or equivalent practical experience.
•Deep experience developing real-time navigation and/or sensor fusion algorithms with IMUs, GPS, and other sensors.
•Strong understanding of state estimation techniques including Kalman filters (extended/unscented variants) and particle filters.
•Proficiency with C++11 or newer and experience with real-time operating environments.
•Comfort with Linux, scripting, and standard development tools; excellent communication and cross-disciplinary collaboration.

Experience:UAV autonomyNavigationSensor fusionRoboticsDefense-techAutonomous systems

Education:Bachelor's

Skills:CommunicationCollaborationCross-disciplinary teamworkProduct deliveryAdaptability

Tech Stack:C++11C++LinuxScriptingIMUGPSGNSSKalman filtersExtended Kalman filterUnscented Kalman filterParticle filtersSensor fusionReal-time operating environmentsUAVVisual odometryMagnetometersBarometersRadarCUDAFPGAs

Company Brief

Shield AI

Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn

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Shield AI

3 weeks ago

Principal Engineer, State Estimation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Dallas

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Develop and implement advanced state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation techniques for denied environments.
•Design and optimize state estimation frameworks integrating IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar systems.
•Build real-time sensor processing pipelines for UAV platforms with robustness, accuracy, and failover performance.
•Collaborate with autonomy, software, and hardware teams to ensure seamless integration of state estimation components within autonomous systems.
•Lead simulation, lab testing, and field validation to assess state estimation performance across varying operational conditions.

Pay and Benefits

Salary: USD 274,560 - 411,840 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Typically requires 12+ years of relevant experience with a bachelor’s degree (or 10 years with a master’s degree; or a PhD with 8 years experience) or equivalent practical experience.
•Deep experience developing real-time navigation and/or sensor fusion algorithms with IMUs, GPS, and other sensors.
•Strong understanding of state estimation techniques including Kalman filters (extended/unscented variants) and particle filters.
•Proficiency with C++11 or newer and experience with real-time operating environments.
•Comfort with Linux, scripting, and standard development tools; excellent communication and cross-disciplinary collaboration.

Experience:UAV autonomyNavigationSensor fusionRoboticsDefense-techAutonomous systems

Education:Bachelor's

Skills:CommunicationCollaborationCross-disciplinary teamworkProduct deliveryAdaptability

Company Brief

Shield AI

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn