Staff Engineer, Integration & Test (R3853) at Shield AI

California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Defense, Aerospace, Artificial Intelligence, RoboticsIndustries

Requirements

Experience designing and implementing innovative software solutions for automation testing and data analysis
Ability to become a Super User of the Hivemind product
Capability to extend test plans beyond expected uses to anticipate novel customer use cases and edge-case instances
Passionate and innovative engineer with expertise in Software Test and Integration Engineering
Skills in autonomy system engineering, robotics integration, software development, test engineering, and/or quality assurance (cross-functional team context)

Responsibilities

Become a super-user of the state-of-the-art AI software product, learn to automate multi-agent scenarios, analyze robotic data, validate test cases, use the product as a customer would, and try to break it
Test new features: Collaborate cross-functionally with developer teams to design test plans for new single and multi-robot autonomy algorithms, user interfaces, middleware, and server applications
Enable coverage testing of product capabilities: Design and implement tests to cover all performance aspects of a product capability across all permutations of operating environments and use cases
Design automation tooling & automate tests: Architect innovative automation frameworks that enhance testing efficiency and effectiveness; automate tests to run on Software-in-the-Loop, Hardware-in-the-Loop, and Vehicle-in-the-Loop test fixtures
Integrate new capabilities: Work with other integration engineers to implement test solutions on prototype robotic hardware platforms
Optimize test efficiency: Determine the testing strategy (what tests, at what frequencies, etc.) for the overall product and work with DevOps/Ex teams to optimize testing design on CI
Evaluate test data and automate reporting: Create analyzer code for the automated analysis of test data; review test data, identify and root cause bugs, report to developers, and create automated reporting tools for test performance and bug attributes
Check off requirements, help determine metrics: Work with product and system engineers to ensure requirements are met and define metrics

Skills

Key technologies and capabilities for this role

Software TestingIntegration EngineeringAutomation TestingData AnalysisAutonomy SystemsRobotics IntegrationEmbedded SystemsTest FrameworksQuality AssuranceGround Control Systems

Questions & Answers

Common questions about this position

What kind of team will I be working with?

You'll join the Hivemind Test team, a cross-functional group with skills in autonomy system engineering, robotics integration, software development, test engineering, and quality assurance, collaborating with developer teams.

What are the main responsibilities of this role?

Responsibilities include becoming a super-user of the Hivemind AI software, automating multi-agent scenarios, analyzing robotic data, validating test cases, designing test plans for new features, and implementing tests for product capability coverage.

What skills and experience are required for this position?

The role requires expertise in designing and implementing software solutions for automation testing and data analysis, experience with software test and integration engineering, and the ability to collaborate cross-functionally on test plans for AI, robotics, autonomy algorithms, UIs, middleware, and servers.

What is the company culture like at Shield AI?

Shield AI features a mission-driven environment with values-focused teammates, passionate and innovative engineers working on state-of-the-art AI and robotics products to protect service members and civilians.

Is this a remote position or does it require office work?

This information is not specified in the job description.

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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