Senior Quality Engineer, Applied AI

Anduril Industries

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Costa Mesa, CA
Salary
$191,000–$253,000 / yr
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $222k
$119k most similar roles pay here $267k

This role pays more than 80% of similar roles. Most pay $148,875–$216,250 — the shaded band above. At the midpoint, this role pays about $222k 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

Senior Quality Engineer, Applied AI joins the Mission Control team to oversee quality assurance, release management, and incident management for systems powering manufacturing facilities. This role serves as a technical anchor ensuring seamless integration across PLM, ERP, MES, and WMS platforms. You will design and own automated system integration tests that simulate real production workloads and data while leveraging frontier AI tooling and agentic systems to accelerate test authoring and triage. Key responsibilities include establishing release readiness criteria, building observability and instrumentation for incident response, and developing infrastructure as code to improve developer feedback loops. The role requires expertise in distributed systems, API automation frameworks like Playwright, and CI/CD pipelines. You will solve complex problems regarding non-deterministic system behavior and ensure high quality across the manufacturing lifecycle by bridging the gap between software engineering and production reality.

What you'll do

  • Design and own automated system integration tests that exercise product lines across multiple integrated systems.
  • Simulate production workloads and data to ensure test environments accurately reflect real-world factory operations.
  • Leverage AI tools to automate the creation, maintenance, and triaging of test suites.
  • Trace failures across service, network, and vendor boundaries to identify root causes in distributed architectures.
  • Establish release readiness criteria, quality gates, and testing strategies for the production release train.
  • Build observability and instrumentation to turn failed tests or incidents into actionable signals.
  • Contribute code and infrastructure improvements to enhance developer feedback loops and system stability.
  • Lead incident response and root cause analysis to eliminate recurring classes of failure.

What we're looking for

  • 8+ years of experience in software engineering, SDET, SRE, quality engineering, infrastructure engineering, or a related role.
  • Demonstrated experience building and operating automated integration or end-to-end test suites for production systems.
  • Strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or platform infrastructure.
  • Experience reasoning about failures across system boundaries with strong debugging, root cause analysis, and incident response skills.
  • Experience working with frontier AI tooling, AI coding assistants, or agentic systems.
  • 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.
  • Eligible to obtain and maintain a U.S. Secret security clearance (preferred).

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