Shield AI Logo

Shield AI

Senior Engineer, Automated Test (R4461)

Posted Yesterday
Be an Early Applicant
Hybrid
San Diego, CA
114K-171K Annually
Senior level
Hybrid
San Diego, CA
114K-171K Annually
Senior level
Design, build, and scale automated test frameworks and CI/CD infrastructure for distributed autonomy software. Develop Python tooling, GitLab CI pipelines, UI/API tests (Go/TypeScript), HIL simulators, and AI-assisted workflows. Integrate testing across simulation, edge, cloud, and hardware; analyze failures; improve coverage, observability, and verification for safety- and mission-critical aerospace systems.
The summary above was generated by AI
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. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

The Hivemind Software Engineering Integration and Test team is seeking a Senior Automated Test Engineer to design, develop, and scale advanced automated testing and CI/CD infrastructure for our next-generation autonomy platform. You will help develop test frameworks that enable this software ecosystem to create, test and deploy resilient autonomy capabilities for unmanned aircraft and robotic platforms operating in complex, contested, and GPS-denied environments. You will work with a robust suite of autonomy and mission software components, including production flight code, simulation and synthetic environment tooling, mission planning and orchestration systems, operator-facing Ground Control Station (GCS) applications, telemetry and data pipelines, and cloud-native developer infrastructure. 

In this role, you will help ensure the reliability, scalability, and quality of the Hivemind ecosystem through advanced automation, validation infrastructure, and AI-assisted engineering workflows. You will develop automated test frameworks, CI/CD systems, and verification tooling that support distributed autonomy software spanning onboard edge compute, APIs, web-based operator interfaces, simulation environments, and hardware-in-the-loop systems. Working closely with software, autonomy, simulation, and systems engineering teams, you will contribute to a high-assurance development environment focused on mission-critical reliability, rapid iteration, and engineering excellence. The ideal candidate has strong experience in Python-based automation, distributed systems testing, developer tooling, and modern CI/CD practices, along with an interest in autonomy, aerospace, robotics, or safety-critical software systems. Experience leveraging AI-assisted development and intelligent automation tools to accelerate testing, debugging, analytics, and developer productivity is highly valued. 

 

What You'll Do:

    • 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. 

Required Qualifications:

    • 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.  

Preferred 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. 

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

Similar Jobs at Shield AI

Yesterday
In-Office
170K-240K Annually
Senior level
170K-240K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead system-level verification and validation of aircraft software by designing realistic mission test scenarios, managing V&V events to verify flight readiness, writing Python test analyzers, producing coverage and release-readiness reports, and improving simulation and fault-injection capabilities.
Top Skills: C++Hardware EmulationPythonSimulation SoftwareTest Automation Frameworks
Yesterday
In-Office
95K-200K Annually
Senior level
95K-200K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design and build automated test capabilities for V-BAT: define and automate system-level test cases, implement interfaces/drivers for simulation and hardware, prototype and harden test solutions, and support release and flight test activities working with GNC and Embedded teams.
Top Skills: C++CmakeGitPoetryPython
Yesterday
In-Office
188K-281K Annually
Senior level
188K-281K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead design and implementation of tactical autonomy behaviors for unmanned platforms. Develop, test, and deploy multi-agent coordination, motion/behavior planning, and survivability features across vehicles while owning end-to-end system lifecycle and collaborating with integration teams and end users.
Top Skills: AfsimC++Do-178CNgtsOmplOptimization SolversRos

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account