Multi‑Target Tracking & Sensor Fusion Engineer (R4172) at Shield AI

Dallas, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Defense, Aerospace, Autonomous SystemsIndustries

Requirements

Strong to expert proficiency in modern C++ (C++11 or newer) and object-oriented design principles
Professional experience deploying C++ software into embedded or real-time systems, ideally for DoD or aerospace applications
Hands-on experience designing and implementing state estimation algorithms (e.g., KF, EKF, UKF, ESKF) for real-world systems
Demonstrated ability to develop, optimize, and maintain complex tracking or sensor fusion algorithms
Experience with CI pipelines, automated testing frameworks, and high-reliability software practices
Familiarity with MATLAB or Python for prototyping (primary development experience must be in C++; MATLAB-dominant backgrounds unlikely to fit)
Deep expertise in target state estimation, multi-sensor data fusion, and tracking theory (e.g., Bayesian filtering, statistical inference, association algorithms, dynamics modeling)
Strong proficiency in modern C++ for production deployment
Preferred qualifications
Experience designing, developing, and deploying multi-target tracking systems for defense applications across air, maritime, ground, or space domains
Familiarity with tracking architectures for radar, EO/IR, acoustic, RF, AIS, ADS-B, or ELINT sensors
Experience building and tuning error budgets, developing performance models, and conducting sensitivity analyses for estimation/tracking accuracy
Hands-on experience implementing and optimizing multi-hypothesis tracking (MHT), joint probabilistic data association (JPDA), or random finite set (RFS)-based filters
Exposure to distributed or hierarchical fusion, including track-to-track fusion or multi-platform coordination
Experience supporting requirements derivation, verification, and validation of tracking systems in DoD or IC programs

Responsibilities

Research, design, and implement state-of-the-art multi-target tracking and data association algorithms
Develop production-quality C++ software for deployed military aviation platforms, ensuring deterministic, real-time performance
Build and maintain comprehensive unit, integration, and system-level tests validating algorithm correctness and robustness
Enhance and calibrate sensor models within advanced simulation and HWIL environments
Collaborate on feature planning, decomposition, and milestone execution within an agile development framework
Contribute to flight-test planning, performance analysis, benchmarking, and regression evaluation
Help drive the technical roadmap and develop high-performance tracking algorithms
Evaluate system performance across simulation, HITL, and flight test environments
Mentor teammates commensurate with level
(Principal-level) Provide technical leadership, design reviews, algorithmic mentorship, and subject-matter expertise across the autonomy organization

Skills

Key technologies and capabilities for this role

Multi-Target TrackingSensor FusionBayesian FilteringStatistical InferenceData Association AlgorithmsDynamics ModelingC++Real-Time SystemsUnit TestingIntegration TestingSimulationHITLFlight Testing

Questions & Answers

Common questions about this position

What programming skills are required for this role?

The position requires strong to expert proficiency in modern C++ (C++11 or newer) and object-oriented design principles, along with professional experience deploying C++ software into embedded or real-time systems.

What expertise is needed in tracking and sensor fusion?

Candidates need deep expertise in target state estimation, multi-sensor data fusion, and tracking theory such as Bayesian filtering, statistical inference, association algorithms, and dynamics modeling, plus hands-on experience with state estimation algorithms like KF, EKF, UKF, ESKF.

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

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What experience makes a strong candidate for this position?

Strong candidates have professional experience in DoD or aerospace applications, familiarity with CI pipelines, automated testing, high-reliability practices, and MATLAB or Python, plus the ability to provide technical leadership at principal level.

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

Benefits

Medical Insurance Coverage

Long Term Disability Insurance

Health Care FSA and Dependent Care FSA

Employee Assistance Program

Subsidized Gym Membership

Pet Insurance

Competitive Compensation

Retirement Services

Life Insurance

Parental Leave

Bereavement Support

Flexible Work Hours

PTO

Paid Holidays

Commuter Benefits

Relaxed Dress Code

Yearly Swag Items

Unlimited Snacks

Bottomless Beverages

Annual Celebrations

Work From Home Benefits

Standing Desks and Widescreen Monitors

Risks

Increased competition from companies like Waymo could divert investment from Shield AI.

Geopolitical tensions may challenge the JSW Defence partnership for V-BAT production in India.

Dependency on Palantir's infrastructure may limit Shield AI's operational flexibility.

Differentiation

Shield AI's Hivemind is the first autonomous AI pilot deployed in combat since 2018.

Strategic partnerships with Palantir and JSW Defence enhance technological capabilities and market reach.

Shield AI's V-BAT drone is selected for a $198 million U.S. Coast Guard contract.

Upsides

Increased demand for autonomous systems in defense boosts Shield AI's market potential.

Successful multi-aircraft autonomous flight tests showcase advanced AI piloting capabilities.

Significant investment in robotics indicates a robust market for Shield AI's offerings.

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