Software Simulation Lead (R3249) at Shield AI

Boston, Massachusetts, United States

Apply Now

Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Defense, AerospaceIndustries

Requirements

BS in Computer Science or related engineering field with 8+ years of professional experience
2+ years of experience leading engineering teams or projects
Passion for simulation and testing with the goal of ensuring safety and reliability at scale
Experience building simulation within DevOps environments in addition to experience with DevOps tools and infrastructure
Interest in aerospace and autonomous vehicles
Strong foundation in modern C++, including a deep understanding of memory management, performance optimization, and debugging
Experience with robotics concepts, including node-based architectures such as ROS or similar middleware frameworks
Foundational knowledge of statistics and its application in software development, testing, and data analysis
Experience building and compiling code in complex software environments, including debugging build errors and managing dependencies
Solid understanding of mathematics (especially linear algebra) and foundational physics, with the ability to interpret technical papers and algorithms effectively
Eagerness to learn, adapt, and grow in a collaborative team environment, with a proactive approach to problem-solving and communication
Preferred Qualifications
Experience with Docker, Kubernetes, and/or containerised application development
Familiarity with rigid body dynamics (e.g. Euler’s equations, quaternions)

Responsibilities

Design, develop, and optimize high-performance simulation frameworks
Align needs and priorities across many teams and disciplines
Manage and lead a small team of specialized simulation engineers in multiple locations
Collaborate with cross-functional teams, including software engineers, autonomy engineers, and aerodynamics engineers, to ensure the simulation accurately reflects real-world conditions
Integrate basic physics principles into simulations to enhance realism and accuracy
Conduct testing and validation of simulation frameworks to ensure performance and reliability
Stay updated with the latest advancements in simulation technologies and apply them to our systems

Skills

Simulation Frameworks

High-Performance Simulation

Software Testing

Test Automation

GNC

Aerodynamics

Propulsion

Embedded Systems

Integration

CI/CD

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