Staff Engineer, State Estimation (R3260) at Shield AI

Dallas, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Defense, AerospaceIndustries

Requirements

Typically requires a minimum of 7 years of relevant experience with a bachelor’s degree; or 6 years with a master’s degree; or 4 years with a PhD; or equivalent practical experience
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)
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

Responsibilities

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

Skills

Key technologies and capabilities for this role

State EstimationSensor FusionInertial NavigationVisual OdometryIMUGNSSMagnetometersBarometersRadarGPS-Denied NavigationReal-Time AlgorithmsGNCSensor Processing

Questions & Answers

Common questions about this position

What is the salary for this Staff Engineer position?

This information is not specified in the job description.

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

This information is not specified in the job description.

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

Required skills include experience developing real-time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors, strong understanding of filtering techniques like Kalman filters, EKF, UKF, and particle filters, proficiency in C++11 or newer in real-time environments, and comfort working in Linux.

What is the company culture like at Shield AI?

Shield AI emphasizes collaboration across teams, working in fast-paced development cycles, and delivering high-quality results in a mission-driven environment focused on protecting service members with autonomous systems.

What experience level is required for this position?

Typically requires a minimum of 7 years of relevant experience with a bachelor’s degree; or 6 years with a master’s degree; or 4 years with a PhD; 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