Principal Engineer, State Estimation (R3260) at Shield AI

Dallas, Texas, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Defense, AerospaceIndustries

Requirements

Typically requires a minimum of 15 years of relevant experience with a bachelor’s degree; or 14 years with a master’s degree; or a PhD with 12 years of 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 (e.g., Kalman filters, extended and unscented variants, particle filters, etc.)
Proficiency with C++11 or newer; experience with real-time operating environments
Comfort with Linux, scripting, and standard development tools
Excellent communication and collaboration skills; ability to work across engineering disciplines and with external partners
Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment
Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
Preferred qualifications
Experience developing and implementing inertial navigation solutions for GPS-denied or degraded environments
Knowledge of computer vision techniques
Proficiency in optimizing algorithms for compute-constrained systems
Experience with CUDA or other hardware acceleration technologies (e.g. FPGAs)
Proven track record of transitioning from R&D to production

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 to integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar systems
Build real-time sensor processing pipelines for UAV platforms, focusing on robustness, accuracy, and failover performance
Collaborate with autonomy, software, and hardware teams to ensure seamless integration of state estimation components within larger autonomous systems
Lead simulation, lab testing, and field validation of state estimation algorithms to assess performance under varying operational conditions
Stay on the forefront of navigation and state estimation innovation—adapting emerging technologies and research into deployable, mission-ready solutions

Skills

Key technologies and capabilities for this role

State EstimationSensor FusionInertial NavigationVisual OdometryIMUGNSSMagnetometerBarometerRadarReal-time ProcessingUAV NavigationGNC

Questions & Answers

Common questions about this position

What is the salary for this Principal Engineer position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What skills are required for the Principal State Estimation Engineer role?

Required skills include deep experience with real-time navigation and sensor fusion algorithms using IMUs, GPS, and other sensors; strong understanding of state estimation techniques like Kalman filters, extended/unscented variants, and particle filters; and proficiency with C++11 or newer in real-time operating environments, plus comfort with Linux and scripting.

What is the company culture like at Shield AI?

This information is not specified in the job description.

What experience level is needed to apply for this position?

Typically requires a minimum of 15 years of relevant experience with a bachelor’s degree; or 14 years with a master’s degree; or a PhD with 12 years of experience; or equivalent practical experience.

Shield AI

Develops AI and autonomous systems for defense

About Shield AI

Shield AI specializes in creating artificial intelligence and autonomous systems specifically for the defense industry. The company develops AI-powered systems, including autonomous drones, that assist military operations, especially in environments where GPS and communication may not be available. This technology allows for safer and more efficient defense operations. Shield AI differentiates itself from competitors by focusing on advanced AI capabilities and securing significant contracts with government and military clients, such as the multi-billion dollar EWAAC contract. The company's goal is to enhance operational capabilities and safety in military contexts, ultimately aiming to protect lives through its innovative solutions.

San Diego, CaliforniaHeadquarters

2015Year Founded

$772.8MTotal Funding

DEBTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees