Senior Engineer, State Estimation (R3945) at Shield AI

Boston, Massachusetts, 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 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience
Experience developing and deploying real-time sensor processing algorithms, e.g. with cameras, radar, IMUs, GPS, etc
Solid understanding of state estimation techniques, such as Kalman filters, particle filters, etc
Experience with C++ 11 or newer
Experience with Linux, command line tools, etc
Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders
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 in implementing inertial navigation algorithms on real-time processing systems
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 sensor algorithms for processing data from IMUs, radar, cameras, GPS, and other sensors
Enhance state estimation algorithms by integrating multi-sensor data for improved accuracy and robustness
Design and implement real-time sensor data processing pipelines
Collaborate with cross-functional teams, including software engineers, autonomy researchers, and hardware engineers, to ensure seamless integration of state estimation algorithms
Conduct experiments and field tests to validate the performance of state estimation algorithms in real-world scenarios
Stay updated with the latest advancements in sensor technologies and state estimation, applying them to our systems

Skills

State Estimation

Sensor Fusion

IMU

Radar

Cameras

GPS

Real-time Processing

GNC

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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