Senior Quality Engineer, Applied AI

Anduril Industries

Quick summary

Work type
On-site
Location
Costa Mesa, CA
Salary
$146,000–$194,000 / yr
Posted
today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $214k
This role $170k
$132k most similar roles pay here $276k

This role pays less than 78% of similar roles. Most pay $182,175–$246,150 — the shaded band above. At the midpoint, this role pays about $170k versus about $214k 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 1882 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1696 roles with salary data.

Most-posted roles

View all roles at Anduril Industries

At a glance

TL;DR · Senior Quality Engineer, Applied AI

As a Senior Quality Engineer at CorpTech Platform, you will lead quality and reliability efforts within a small, senior AI development team focused on solving high-impact business and engineering problems. Your responsibilities include designing test strategies, validating software, and ensuring release readiness for AI-enabled systems. You will work closely with software and AI engineers to identify potential failure modes early in the development cycle and build confidence through automated testing and observability practices. Additionally, you will contribute to code, infrastructure, and tooling improvements while supporting launch readiness and incident response. Ideal candidates have 5+ years of experience in software engineering or a related field, with expertise in modern architectures, CI/CD pipelines, cloud platforms, and AI tooling. Strong debugging skills and the ability to balance rigor with speed are essential, as is the capacity to influence senior engineers and stakeholders on quality assurance and reliability trade-offs.

What you'll do

  • Design and implement test strategies for AI-enabled software and automation.
  • Identify failure modes early across various components of AI systems.
  • Build automated testing, observability, and operational safeguards for fast-moving solutions.
  • Define standards for reliability, resiliency, debugging, and production operations in AI-first models.
  • Support launch readiness, respond to production issues, and conduct root cause analysis.

What we're looking for

  • 5+ years of experience in software engineering or related technical roles.
  • Proven track record building and operating reliable production systems.
  • Expertise in modern software architectures, APIs, distributed systems, CI/CD, and cloud infrastructure.
  • Experience with frontier AI tooling and understanding unique quality challenges.
  • Ability to balance hands-on implementation with strategic quality planning.
  • Strong debugging skills and incident response instincts for preventing failures.
  • Degree in Computer Science or related technical field required.

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