San Fran) at Shield AI

California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, Defense, Autonomous SystemsIndustries

Requirements

Typically requires a minimum of 3 years of relevant experience with a bachelor’s degree; or 2 years with a master’s degree; or 1 year with a PhD; or equivalent practical experience
Familiarity with algorithms
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 NavigationGPS-Denied NavigationIMUsGNSSVisual OdometryMagnetometersBarometersRadarGNCReal-Time AlgorithmsSimulationField TestingPNT Systems

Questions & Answers

Common questions about this position

What are the required qualifications for the State Estimation Engineer role?

Typically requires a minimum of 3 years of relevant experience with a bachelor’s degree; or 2 years with a master’s degree; or 1 year with a PhD; or equivalent practical experience. Additional requirements include familiarity with algorithms, proficiency in C++11 or newer in real-time environments, comfort working in Linux with standard command-line tools and scripting, strong communication skills, and demonstrated success in fast-paced development cycles.

What are the possible work locations for this position?

The role is available in Dallas, San Diego, Boston, DC, or San Francisco.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the team collaboration look like for this position?

You will collaborate closely with autonomy researchers, software engineers, and hardware teams to ensure end-to-end integration of navigation and PNT systems, requiring a collaborative mindset.

What experience makes a candidate stand out for this role?

Preferred qualifications 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, particle filters, and implementing inertial navigation in GPS-denied conditions.

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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