Senior Quality Engineer, Applied AI

Anduril Industries

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Boston, MA
Salary
$146,000–$194,000 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $170k
$123k most similar roles pay here $230k

This role pays more than 52% of similar roles. Most pay $149,000–$216,587 — the shaded band above. At the midpoint, this role pays about $170k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 850 open roles on FindRole.

Listed pay typically runs $166,000–$220,000 across 821 roles with salary data.

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View all roles at Anduril Industries

At a glance

TL;DR · Senior Quality Engineer, Applied AI

As a Senior Quality Engineer, Applied AI, you will join the CorpTech Platform team to serve as the quality and reliability lead within a small, senior AI development pod. You will be responsible for designing and implementing test strategies, validation approaches, and release readiness criteria for AI-enabled software, automation, and agentic workflows. Your daily work involves partnering with engineers to identify failure modes across code, prompts, models, and infrastructure while building confidence through automated testing, observability, and instrumentation. The role requires expertise in modern software architectures, APIs, distributed systems, CI/CD, and cloud platforms. You will specifically address the unique reliability challenges of non-deterministic systems and frontier AI tooling. This position focuses on solving complex business and engineering problems by integrating AI directly into the development lifecycle to ensure production stability for internal corporate systems.

What you'll do

  • Lead quality and reliability efforts for an AI development pod solving complex business and engineering problems.
  • Design test strategies and release readiness criteria for AI-enabled software and agentic workflows.
  • Identify failure modes across code, prompts, models, infrastructure, and user workflows in collaboration with engineers.
  • Build confidence in fast-moving solutions through automated testing, observability, and operational safeguards.
  • Establish practical standards for reliability, debugging, and production operations within an AI-first development model.
  • Contribute directly to code, infrastructure, and tooling to improve developer feedback loops and stability.
  • Manage launch readiness, root cause analysis, and incident response for front-facing systems.
  • Advocate for engineering discipline in quality assurance and infrastructure hygiene without sacrificing development speed.

What we're looking for

  • 5+ years of experience in software engineering, site reliability engineering, quality engineering, infrastructure engineering, or a related role.
  • Demonstrated experience building or operating reliable production software systems including testing, observability, and deployment confidence.
  • Technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or platform infrastructure.
  • Experience with frontier AI tooling, LLM-enabled applications, or agentic systems and their unique reliability challenges.
  • Ability to balance hands-on implementation with high-level quality strategy based on project needs.
  • Strong debugging, root cause analysis, and incident response skills focused on preventing recurring failures.
  • Degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
  • U.S. Person status is required to access export controlled data.

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