Senior Quality Engineer, Applied AI
$191,000–$253,000 year
On-site · Costa Mesa, California, United States
Job Summary
Senior Quality Engineer, Applied AI at Anduril leads the quality and reliability efforts within a senior AI development pod. You will design and implement test strategies, validation approaches, and release readiness criteria for AI-enabled software, automation, and agentic workflows; partner with software and AI engineers to identify failure modes across code, prompts, models, integrations, infrastructure, and user workflows; build confidence in fast-moving solutions through automated testing, observability, instrumentation, and operational safeguards; help define practical standards for reliability, resiliency, debugging, and production operations in an AI-first development model; contribute in code, infrastructure, and tooling to improve delivery confidence and production stability; support launch readiness, production issue response, root cause analysis, and continuous improvement for front-facing systems.
Required Qualifications
- 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, 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 challenges these systems introduce
- 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
- Strong debugging, root cause analysis, and incident response instincts, with a bias toward 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
- Degree in Computer Science, Information Systems, Engineering, or related technical field, or equivalent practical experience
- U.S. Person status is required as this position needs to access export controlled data
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