Senior Quality Engineer, Applied AI
About this role
Complex AI-enabled software systems often fail in unpredictable ways across prompts, models, and integrations, creating a critical need for structured quality and reliability leadership within internal development teams. Anduril Industries addresses this challenge by hiring a Senior Quality Engineer to guide validation approaches and release readiness criteria for applied AI systems inside the CorpTech Platform organization. Operating within a small, senior AI development pod, the incoming engineer builds confidence in fast-moving automation and agentic workflows through automated testing, observability, and operational safeguards.
This role exists to establish practical standards for resiliency and debugging as the company scales its autonomous software factory and internal business platforms. A successful candidate brings deep technical fluency in modern software architectures alongside hands-on experience evaluating non-deterministic AI applications. Professionals who thrive in this environment balance rapid delivery with rigorous engineering standards while partnering closely with software and AI engineers to identify failure modes early.
What you will do
- 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.
- 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.
What you need
- Have 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.
- Demonstrate experience building or operating reliable production software systems, including ownership of testing, observability, deployment confidence, and operational readiness.
- Possess strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or platform infrastructure.
- Bring experience working with frontier AI tooling, AI coding assistants, LLM-enabled applications, or agentic systems, including awareness of unique quality and reliability challenges.
- Show the ability to move between hands-on implementation and systems-level quality strategy with sound judgment on rigor versus speed.
- Exhibit strong debugging, root cause analysis, and incident response instincts with a bias toward preventing classes of failures.
- Hold excellent written and verbal communication skills to influence senior engineers and cross-functional stakeholders.
- Maintain U.S. Person status as required for accessing export-controlled data, alongside a degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
Nice to have
- Experience supporting AI-first or AI-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.
- Experience with infrastructure as code, cloud platforms, observability stacks, release engineering, and production operations.
- Experience in hyper growth startup-like environments balancing speed, ambiguity, and engineering rigor.
- Familiarity with enterprise systems and business process domains such as ERP, MES, WMS, CRM, finance systems, or manufacturing systems.
Benefits
- Highly competitive equity grants included in the majority of full-time offers
- Comprehensive, competitive benefits package available at little to no cost to employees
Skills and tech stack
Questions candidates ask
What is the salary range for this role?
The salary range for this role is $146,000 to $194,000 USD based on a wide range of compensation factors inclusive of base salary only. Actual salary offers may vary based on work experience, education, training, critical skills, and business considerations.
What kind of team will I be working with?
You will operate as the quality and reliability lead within a small, senior AI development pod inside the CorpTech Platform organization. This internal engineering force multiplier builds the foundations that power corporate systems and enterprise software.
Are equity grants included with this position?
Highly competitive equity grants are included in the majority of full-time offers and are considered part of the total compensation package.
Are there specific citizenship or work authorization requirements?
U.S. Person status is required as this position needs to access export controlled data. Additionally, candidates must be eligible to obtain and maintain a U.S. Secret security clearance.
The application is on the official Anduril Industries careers page.
Apply on company site