Chief Engineer, Autonomy (R3568) at Shield AI

California, United States

Apply Now

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Defense Technology, AerospaceIndustries

Requirements

BS/MS in Computer Science, Electrical Engineering, Mechanical/Aerospace Engineering, and/or similar degree
10+ years of industry experience in autonomy and/or UAS platforms (e.g., defense tech, self-driving car, etc.)
7+ years of delivering software into production/certifiable environments with high-reliability
Understanding of guidance, control and navigation (GNC) (e.g. controls, estimation, planning)
Understanding of robotics stack (e.g., controls, estimation, perception, planning, etc.)
Understanding of software development processes and how to effectively deploy software
Experience defining technical scope and managing technical requirements, product architectures, ICDs and other system level design documentation
Demonstrate problem solving skills by applying a scientific technical approach
Customer-facing engineering leader supporting both defense and internally funded development programs
Contribute to government contract proposal writing
Excellent communication skills, both written and verbal
Excellent leadership skills, driving a team of 6-20 engineers
Defense industry experience as a Chief Engineer and a proven track record of leading technical teams to develop and deploy autonomous systems

Responsibilities

Serve as the Chief Engineer on Shield AI projects focused on developing and deploying autonomy solutions for unmanned aircraft
Lead a team responsible for advancing Hivemind Autonomy and shaping Department of Defense (DoD) autonomy architectures
Define and assign technical objectives, make key engineering decisions, and ensure the quality and completeness of all technical deliverables
Provide technical leadership and oversight across both Internal Research and Development (IRAD) initiatives and DoD contracts

Skills

Autonomy Systems

UAS

System Architecture

Technical Leadership

DoD Architectures

IRAD

Risk Mitigation

Product Quality

Engineering Design

Development

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