Senior Manager, Perception (R3634) at Shield AI

United States

Apply Now

Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Defense, Aerospace, RoboticsIndustries

Requirements

BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 8 years with a PhD; or equivalent work experience
2+ years managing technical teams
Demonstrated experience integrating and working with sensor payloads in the DoD space
Proficient with sensor fusion for noisy high-bandwidth exteroceptive sensors on compute-constrained systems
A solid foundation in theory related to state estimation, object detection, data association, probabilistic robotics, and signal processing
Experience working on projects with 10+ contributors
Ability to develop, benchmark, debug, and deploy software-based algorithms
Demonstrated problem solving skills by applying a scientific approach
Offers fast, efficient, effective problem solving approaches
Exceptional collaborator and communicator
Comfortability within Unix environments
Hard-working, trustworthy teammate
Exhibits holding themselves and others to high standards
Being kind to others

Responsibilities

Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution
Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication
Write production quality software in C++
Produce an Assured Position, Navigation, and Timing (A-PNT) system to enable reliable autonomy in GNSS-degraded or denied environments
Extend and specialize Shield AI’s state-of-the-art state estimation framework for new sensors, platforms, and missions
Write test code to validate your software with simulated and real-world data
Collaborate with hardware and test teams to validate algorithms/code on aerial platforms
Write analyzers to ingest data and produce statistics to validate code quality
Enhance sensor models within a high-fidelity simulation environment
Work in a fast-paced, collaborative, continuous development environment, enhancing analysis and benchmarking capabilities

Skills

State Estimation

Sensor Fusion

Artificial Intelligence

Machine Learning

Machine Perception

Perception Algorithms

Autonomy

Integration

Testing

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.

Land your dream remote job 3x faster with AI

Try Jobo Free