Engineer II, Software Perception (R3554) at Shield AI

United States

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Defense Technology, Robotics, Artificial Intelligence, Computer VisionIndustries

Requirements

Candidates must possess 2+ years of experience in modern C++ (C++11 or later) within a Linux environment, demonstrated experience implementing real-time video/image processing pipelines, a strong understanding of multithreading, memory management, and performance optimization, and experience with GPU programming (e.g., CUDA, OpenGL) in production environments. Proficiency in setting up and maintaining CI/CD workflows for C++ projects, along with strong verbal and written communication skills, are also required.

Responsibilities

As an Engineer II, you will collaborate with cross-functional teams to implement core features and workflows across the perception stack, design and develop components for video processing and ML/DL pipelines with mentoring, contribute to technical documentation and design reviews, participate in feature planning, maintain standards for CI/CD pipelines and automated testing, take ownership of resolving complex integration and deployment issues, and contribute to the overall development of GPS-denied navigation, object detection, multi-target tracking, and global mapping capabilities.

Skills

Perception

GPS-denied navigation

Object detection

Multi-target tracking

Global mapping

Robotics

Computer vision

Video processing

ML/DL pipelines

CUDA

OpenGL

Multi-threaded processing

Technical documentation

Design reviews

Code quality

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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