Engineer II, Software (R4164) at Shield AI

Kyiv, Kyiv city, Ukraine

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Defense, Aerospace, Autonomous SystemsIndustries

Requirements

Minimum of 5 years of systems engineering or related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience
B.S. degree in a STEM discipline (e.g., Software, Aerospace, Mechanical, Electrical Systems Engineering)
Experience with Systems Engineering practices and principles, including writing, organizing, and verifying requirements
Experience with MBSE and related efforts
Experience working in cross-functional teams
Excellent communication skills, both written and verbal
Organized and methodical
Software engineer experience in C++ and/or Python
Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics
Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others

Responsibilities

Define end-to-end system requirements, from solution level to specific implementations of software
Support the design & development process for the software system architecture
Use MBSE tools to document, maintain & extend existing architecture in support of new integrations & capabilities
Develop and maintain models using Unified Modeling Language (UML), Systems Modeling Language (SysML), and/or Unified Profile
Develop SysML models with emphasis on system decomposition, functions, interfaces, and behavior
Collaborate with SMEs for improved tooling and connection to code for automated system models
Lead cross-functional teams on projects
Collaborate to define implementations of the systems engineering processes
Engage cross-functionally with product management, program management, mechanical engineering, embedded engineering, business development, and other company leaders
Report status, risks, accomplishments, expectations to senior leadership
Collaborate closely with US and international programmatic leadership to determine the appropriate System Engineering level of effort
Collaborate with System Design Teams (e.g., Human Factors, UX, Architecture, etc.) to decompose solution designs to actionable levels of detail
Collaborate with System Development & Test (e.g., Development, Integration, Test) to define system architectures

Skills

Software Engineering

Systems Architecture

Autonomy

MBSE

System Requirements

System Design

Integration

Test

Human Factors

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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