Senior Quality Engineer, Applied AI

Job summary

Responsibilities

By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process.

• Act as the quality and reliability lead within a small, senior AI development pod focused on solving novel, high-impact business and engineering problems.
• Design and implement test strategies, validation approaches, and release readiness criteria for AI-enabled software, automation, and agentic workflows.
• Partner closely with software and AI 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 AI-first development model.

What they're looking for

• 5+ years of experience in software engineering, site reliability engineering, quality engineering, infrastructure engineering, or a closely related role in a fast-paced…
• 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, APIs, distributed systems, CI/CD, and cloud or platform infrastructure.
• Experience working with frontier AI tooling, AI coding assistants, LLM-enabled applications, or agentic systems, including awareness of the unique quality and reliability…
• Ability to move between hands-on implementation and systems-level quality strategy, with sound judgment on where rigor is required versus where speed is appropriate.