Senior Quality Engineer, Applied AI

Anduril Industries

Quick summary

Work type: On-site
Location: Boston, MA
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

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As a Senior Quality Engineer at CorpTech Platform, you will lead quality and reliability efforts within a small, senior AI development team tackling complex business and engineering challenges. Your responsibilities include designing test strategies, validating software, and ensuring release readiness for AI-enabled systems. You will work closely with engineers to identify potential failure points across various components and build automated testing frameworks to enhance system stability. Additionally, you will contribute to defining standards for reliability and operational excellence in an AI-first environment, while also engaging in hands-on coding and infrastructure development when necessary. The role requires expertise in modern software architectures, CI/CD pipelines, cloud platforms, and frontier AI technologies, with a focus on balancing speed and rigor in hyper-growth settings.

Skills

CI/CD Python Docker Kubernetes AWS Terraform PostgreSQL Prometheus Grafana GitLab Jenkins Ansible Secrets Management LLM-Enabled Applications Infrastructure as Code Observability Stacks

What you'll do

Design and implement test strategies for AI-enabled software.
Identify failure modes early across various components of AI systems.
Build automated testing, observability, and operational safeguards.
Define standards for reliability and resiliency in AI-first development.
Support launch readiness and continuous improvement for front-facing systems.

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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