Full-Time

Automated Test Senior Engineer

Updated on 6/10/2026

Shield AI

Shield AI

1,001-5,000 employees

Develops AI-powered autonomous defense drone systems

Compensation Overview

$114.3k - $171.4k/yr

+ Bonus + Equity

San Diego, CA, USA

Hybrid

Category
QA & Testing (1)
Required Skills
Claude
Bash
Python
Software Testing
TypeScript
Go
DevOps
Linux/Unix
Requirements
  • 5+ years of experience building scalable, maintainable automation frameworks and/or developer tooling in Python.
  • 5+ years of experience working with package management, dependency management, and build systems using tools such as conan, pip, setuptools, poetry, and nix or similar.
  • 5+ years of experience building tooling for automated log collection, analytics, reporting, and failure triage.
  • Strong understanding of asynchronous and concurrent programming in Python for scalable automation and parallel test execution.
  • Experience developing and maintaining CI/CD pipelines using GitLab CI, YAML, and shell scripting.
  • Experience with automated testing of distributed systems, backend services, APIs, and web-based UIs.
  • Familiarity with modern test frameworks, automated validation strategies, and software quality methodologies.
  • Experience working in Linux-based development environments.
  • Strong debugging and problem-solving skills in complex software systems.
  • Excellent collaboration and communication skills in cross-functional engineering environments.
Responsibilities
  • Design, develop, and maintain automated test frameworks for Autonomy and UI applications.
  • Develop scalable automated test infrastructure for functional, integration, regression, system, and end-to-end testing across distributed software and hardware environments.
  • Create and maintain CI/CD pipelines in GitLab using YAML configurations and shell scripting to support automated build, test, and deployment workflows.
  • Build workflow automation tools and utilities in Python to improve test execution efficiency, reporting, environment setup, and developer productivity.
  • Develop and maintain UI and API test automation using Go and TypeScript for modern web-based operator interfaces and mission control applications.
  • Integrate automated testing into continuous integration environments to support rapid software delivery and high reliability standards.
  • Collaborate closely with software, autonomy, simulation, and systems engineering teams to define verification strategies and improve software quality throughout the development lifecycle.
  • Develop automated validation solutions for safety-critical and mission-critical aerospace software systems.
  • Create test harnesses, simulators, stubs, and mocks to support automated verification in both simulated and hardware-in-the-loop (HIL) environments.
  • Analyze test results, troubleshoot failures, and work with development teams to isolate root causes and improve system reliability.
  • Improve test coverage, execution speed, maintainability, and observability of automated test systems.
  • Contribute to software quality standards, coding best practices, and automation architecture decisions.
  • Maintain clear technical documentation for test frameworks, automation workflows, CI/CD infrastructure, and validation procedures.
  • Support release qualification activities and ensure traceability between requirements, tests, and verification results where applicable.
  • Represent the Integration and Test Role in design reviews and advocate for a culture of engineering excellence and continuous improvement.
  • Develop AI-assisted engineering workflows and analytics tools using modern coding agents such as Claude Code, Codex, and related LLM-based development platforms to improve test generation, failure triage, debugging, and developer productivity.
  • Design intelligent automation pipelines that leverage AI-assisted code generation, log analysis, test analysis, and workflow orchestration to accelerate software verification and validation processes.
  • Evaluate and integrate emerging AI-driven software engineering tools into automated test and CI/CD ecosystems while maintaining reliability, traceability, and engineering quality standards.
Desired Qualifications
  • Experience integrating Python with native C/C++ libraries and applications using bindings, wrappers, subprocess interfaces, or interoperability tooling.
  • Proficiency with Go and/or TypeScript for automation tooling or UI test development.
  • Experience with C++ development or testing.
  • Aerospace, robotics, autonomy, or safety-critical software experience.
  • Familiarity with simulation, hardware-in-the-loop (HIL), or embedded system testing.

Shield AI builds AI-powered autonomous systems for defense, focusing on drones and related technologies that can operate without GPS or communications. Its products include autonomous drones and AI software that can sense, plan, and act in complex environments to support military operations while keeping people safe. The company differentiates itself through defense-grade autonomy capabilities, the ability to operate in GPS-denied areas, and a strategic footprint that includes acquisitions (e.g., Martin UAV) and prime roles on large government contracts like the EWAAC program. Its goal is to improve safety and mission effectiveness for defense users by delivering reliable, scalable autonomous systems under government contracts and partnerships.

Company Size

1,001-5,000

Company Stage

Late Stage VC

Total Funding

$3.3B

Headquarters

San Diego, California

Founded

2015

Simplify Jobs

Simplify's Take

What believers are saying

  • LUCAS selection validates Hivemind for collaborative swarm strike missions.
  • Northrop Grumman's Talon IQ flight expands Shield AI beyond its own aircraft.
  • V-BAT wins in Greece and India broaden international revenue and support.

What critics are saying

  • A failed LUCAS demonstration would weaken Shield AI's flagship autonomy narrative.
  • Prime contractors can internalize or replace Hivemind, reducing future platform wins.
  • Combat autonomy incidents would damage trust and slow procurement across defense buyers.

What makes Shield AI unique

  • Hivemind is combat-proven autonomy software deployed across multiple aircraft classes.
  • Shield AI sells platform-agnostic mission autonomy, not just proprietary drones.
  • Hivemind Enterprise and SDK speed integration for defense OEMs and customers.

Help us improve and share your feedback! Did you find this helpful?

Your Connections

People at Shield AI who can refer or advise you

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

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
MilitaryLeak
May 21st, 2026
Shield AI selected to bring ai-powered swarming to LUCAS kamikaze drone program.

Shield AI selected to bring ai-powered swarming to LUCAS kamikaze drone program. May 21, 2026 Shield AI, the defense-tech company building state-of-the-art autonomy software and aircraft, today announced that the Office of the Under Secretary of War for Research and Engineering (OUSW R&E) has selected Shield AI to integrate its Hivemind autonomy software onto the Low-Cost Uncrewed Combat Attack System (LUCAS), a new class of low-cost, one-way attack drones often referred to as kamikaze drones designed to operate in large numbers. The LUCAS program, developed by the Office of the Deputy Assistant Secretary of War for Prototyping and Experimentation (ODASW(P&E)) under OUSW R&E, aims to deliver affordable mass - large numbers of low-cost systems that can be deployed together to overwhelm adversary defenses and give warfighters more capability at scale. Hivemind will serve as the AI pilot for the LUCAS program, enabling groups of drones to coordinate, maneuver, and adapt together to changing conditions in real time, based on warfighter input. The integration will include an operational demonstration this fall, in which a single operator will command a swarm of autonomous systems operating together. The effort marks a major step toward operationalizing collaborative autonomy: teams of autonomous systems working together in dynamic and communications-constrained environments under the supervision of a single operator. Breaking military news Discover more Military research database Military equipment news Aerial warfare strategy "LUCAS is about delivering affordable mass, but mass without coordination is limited in value," said Brandon Tseng, president and co-founder of Shield AI. "Hivemind is the AI pilot that makes that mass intelligent. It's the autonomy layer that enables teams of drones to sense, decide, and act at scale. We're proud to partner with OUSW R&E to put this capability in the hands of the warfighter at the speed of relevance." Hivemind simplifies the operation of networked unmanned systems by enabling a single operator to command multiple platforms at once for complex coordinated operations. Humans remain in control of strike decisions while autonomy manages navigation, coordination, and execution. The result shortens the time from detection to action across the kill chain. The Hivemind AI pilot enables platforms to sense, decide, and act independently, without human intervention. Unlike traditional autopilots that cannot deviate from preplanned routes, Hivemind dynamically reroutes mission plans, responds to unexpected conditions, avoids obstacles, and executes complex tasks safely and effectively. This selection builds on Hivemind's proven use across U.S. and allied defense platforms, including the U.S. Air Force's Collaborative Combat Aircraft program aboard Anduril's YFQ-44A, the U.S. Navy BQM-177 test aircraft, the Airbus UH-72B Lakota helicopter, and the Destinus Hornet platform. Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. Defense stock analysis Post Views: 14

Halldale Group
Apr 8th, 2026
$1.5B raise backs AI autonomy and simulation acquisition.

$1.5B raise backs AI autonomy and simulation acquisition. 8 April 2026 Shield AI has announced $1.5 billion in Series G funding, part of which will go towards acquiring Aechelon Technology Inc, a defence software company that specialises in high-fidelity simulation, physics-based sensors and synthetic reality. Aechelon's technology creates the virtual environments used by the U.S. military and allies to train aircrew and test aircraft and autonomous systems before live flight, including support for the Pentagon's Joint Simulation Environment (JSE). Shield AI develops Hivemind, an AI autonomy software that operates military vehicles including F-16s, jet-powered UAVs and helicopters. By acquiring Aechelon, Shield AI brings simulation capability in-house to train and refine Hivemind more effectively. "The acquisition of Aechelon will accelerate the work we are doing with Hivemind, particularly in simulation like the Department of War's JSE," said Shield AI CEO Gary Steele. "It will also help advance our Hivemind Foundation Model for Defense, which is trained in simulation and continuously refined through real-world operations." Hivemind was recently selected by the U.S. Air Force as a mission autonomy provider for Collaborative Combat Aircraft (CCA). The $1.5 billion Series G values Shield AI at $12.7 billion and is led by Advent International, co-led by JPMorganChase's Security and Resiliency Initiative, with participation from Snowpoint Ventures, InnovationX and Riot Ventures. Funds managed by Blackstone are separately providing $500 million in preferred equity financing, plus a $250 million delayed draw facility. The Aechelon acquisition is expected to close following regulatory approvals. FREE NEWSLETTERS The world's leading authority of safety training news! Civil Aviation Training - Military Simulation & Training - Safety Critical Training

Defense Daily
Mar 26th, 2026
Shield AI raises $2 billion; acquiring software simulation company Aechelon to strengthen AI pilot.

Shield AI raises $2 billion; acquiring software simulation company Aechelon to strengthen AI pilot. Thursday, March 26th, 2026 Shield AI on Thursday said it has raised $2 billion in new funding, including a $1.5 billion Series G round to buy defense software firm Aechelon and continue development of Shield AI's new jet fighter drone. The Series G round was co-led by the global private equity firm Advent International and the Strategic Investment Group of JPMorganChase. Blackstone is also investing $500 million of preferred equity financing, bringing Shield AI's total raise to $2 billion. X-BAT is Shield AI's vertical... Not a subscriber or registered user yet? Please contact us at [email protected] or call us at 888-707-5814 (Monday - Thursday 9:00 a.m. - 5:30 p.m. and Friday 9:00 a.m. - 3:00 p.m. ET.), to start a free trial, get pricing information, order a reprint, or post an article link on your website.

Alternatives Watch
Mar 26th, 2026
Shield AI draws $2bn in funding as PE sharpens its focus on defensetech.

Shield AI draws $2bn in funding as PE sharpens its focus on defensetech. Private equity firms are deepening their bets on the defense technology sector, with a cluster of deals this week underscoring the sector's pull on institutional capital. Advent International has committed up to $1 billion to invest in defense technology companies, starting with a co-lead role in Shield AI's $1.5 billion Series G funding round. Separately, [...] Get the whole story. AW Monthly $39 / Month - Instantly unlock all new and archived articles - Access to AW Research articles & data - Daily, weekly and monthly e-mail newsletters $390 / Year - Everything in Monthly at a 20% discount - Access to AW Research data downloads and annual Manager/Investor Compendiums - Discounts on advertisement rates

Dealroom.co
Mar 26th, 2026
Shield AI company information, funding & investors

Shield AI, builds self-driving technology that enables swarms of unmanned systems to operate on the edge without gps, communications, or remote pilots. Here you'll find information about their funding, investors and team.