Senior Engineer, Generative AI (R4173) at Shield AI

San Diego, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Defense Technology, Aerospace, Autonomous SystemsIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience developing large, production-quality software systems for Machine Learning or Autonomy
Expertise in modern programming languages such as Python, C++, or Go
Proven experience with generative AI models and frameworks, including training, fine-tuning, and deployment
Strong knowledge of software development best practices, including CI/CD, version control (Git), and code-management tools

Responsibilities

Develop and integrate generative AI tools to augment existing feature sets for both internal and external consumption
Design and implement new AI-driven tools aimed at improving developer velocity, such as upgrade assistants and documentation aides
Create and deploy AI solutions focused on enhancing internal release velocity, including PR review automation and bug-resolution agents
Work closely with the Software Operations group to define requirements and timelines for compute and networking needs, ensuring adherence to best practices and IP-safety standards
Partner with the Autonomy Factory Team to incorporate AI tooling into the deployed server, enhancing workflows and user experience

Skills

Generative AI

AI Tools

Software Development

Production Systems

PR Review Automation

Bug Resolution

Compute Infrastructure

Networking

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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