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Anduril

Builds autonomous weapons for the US and allies

Senior Quality Engineer - Applied AI

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeBoston, MA, USAIn-person

About the Job

Requirements

  • At least 5 years of experience in software engineering, site reliability engineering, quality engineering, infrastructure engineering, or a closely related role in a fast-paced environment.
  • Demonstrated experience building or operating reliable production software systems, including ownership of testing, observability, deployment confidence, and operational readiness.
  • Strong technical fluency in modern software architectures, application programming interfaces, distributed systems, continuous integration and continuous delivery, and cloud or platform infrastructure.
  • Experience working with frontier artificial intelligence tooling, artificial intelligence coding assistants, large language model-enabled applications, or agentic systems, including awareness of their unique quality and reliability challenges.
  • Ability to move between hands-on implementation and systems-level quality strategy, with sound judgment about where rigor is required versus where speed is appropriate.
  • Strong debugging, root cause analysis, and incident response skills, with a focus on preventing classes of failures rather than repeatedly reacting to them.
  • Excellent written and verbal communication skills, with the ability to influence senior engineers and cross-functional stakeholders on quality and reliability trade-offs.
  • A degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
  • U.S. Person status is required because the position needs access to export-controlled data.

Responsibilities

  • Act as the quality and reliability lead within a small, senior artificial intelligence development pod focused on solving novel, high-impact business and engineering problems.
  • Design and implement test strategies, validation approaches, and release readiness criteria for artificial-intelligence-enabled software, automation, and agentic workflows.
  • Partner closely with software and artificial intelligence engineers to identify failure modes early across code, prompts, models, integrations, infrastructure, and user workflows.
  • Build confidence in fast-moving solutions through automated testing, observability, instrumentation, environment design, and operational safeguards.
  • Help define practical standards for reliability, resiliency, debugging, and production operations in an artificial-intelligence-first development model.
  • Contribute directly in code, infrastructure, and tooling where needed to improve delivery confidence, developer feedback loops, and production stability.
  • Support launch readiness, production issue response, root cause analysis, and continuous improvement for front-facing systems delivered by the pod.
  • Promote strong engineering discipline in quality assurance, release engineering, infrastructure hygiene, and incident prevention without sacrificing speed.

Desired Qualifications

  • Experience supporting artificial-intelligence-first or artificial-intelligence-accelerated software development teams, including designing quality controls around non-deterministic system behavior.
  • Experience with automated testing strategies spanning unit, integration, end-to-end, performance, and reliability testing for complex software products.
  • Experience with infrastructure as code, cloud platforms, observability stacks, release engineering, and production operations.
  • Experience in hyper-growth, startup-like environments, with demonstrated success balancing speed, ambiguity, and engineering rigor.
  • Familiarity with enterprise systems and business process domains such as enterprise resource planning, manufacturing execution systems, warehouse management systems, customer relationship management, finance systems, or manufacturing systems.
  • Eligibility to obtain and maintain a U.S. Secret security clearance.

About the Company

Anduril

Builds autonomous weapons for the US and allies

Anduril builds autonomous weapons, such as drones, cruise missiles, and robot submarines, for the US military and its allies, often developing them with its own money before any order arrives. In 2024 it beat Boeing, Lockheed Martin, and Northrop Grumman for an Air Force contract to develop Fury, a pilotless jet that flies alongside crewed fighters. Its Lattice software merges camera and radar feeds into one live map and lets a few operators direct many drones and weapons at once, including other companies' systems. Governments buy its systems under contract, and Anduril builds much of the hardware in its own factories. Oculus founder Palmer Luckey co-founded Anduril in 2017, and it is based in Costa Mesa, California.

Company size
10,001+
Company stage
Private
Total funding
$11.5B
Headquarters
Costa Mesa, CA
Founded
2017

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