Senior Engineer, Simulation (R3994) at Shield AI

Dallas, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, Defense, Deep TechIndustries

Requirements

Typically requires a minimum of 3-5 years of related experience with a Bachelor’s degree or equivalent work experience
Experience developing and delivering a simulation framework for internal or external customers
Solid fundamentals in math and physics
Experience with C++ 17 or newer in a production environment
Experience with Linux, git, command line tools, etc
Experience with data analysis
Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders
Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
Preferred Qualifications
Experience with Docker, Kubernetes, and/or containerized application development
Experience with physics-based implementations of forces and moments using numerical methods, differential equations, etc
Familiarity with rigid body dynamics (e.g. Euler’s equations, quaternions), aerodynamics, propulsion systems, etc

Responsibilities

Create hardware / sensor models in C++ (Engines, Servos, Air Data Sensors, IMUs, GPS sensors, optical sensors, boat models, Contact models)
Manage the lifecycle of the models (improvements, etc.) for all development environments (SIL, PIL, HIL, VIL)
Add unit tests for any newly written C++ code / models
Validate the models against live flight data (System ID methods)
Create justified Monte Carlo bounds for all models
Create documentation for all models
Scale simulation into CI pipelines

Skills

C++17

Linux

git

simulation modeling

sensor models

IMU

GPS

unit testing

Monte Carlo

data analysis

System ID

SIL

PIL

HIL

VIL

CI pipelines

math

physics

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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