Firmware QA Manager

Position Summary
We are seeking a Firmware Quality Assurance (QA) Manager to build, lead, and scale an AI-first firmware quality assurance team within our Firmware Engineering department.

This is not a role where AI is a nice-to-have; it is foundational to how we expect this team to operate.

You will establish QA strategy, processes, and tooling that treat AI as a core capability, not an afterthought, leveraging large language models, AI-assisted code review, intelligent test generation, and
automated analysis across our full smart water product portfolio.

That portfolio includes MACH 10 ultrasonic meters for residential, commercial, and industrial applications; the R900 System of RF and cellular meter interface units (MIUs) supporting AMR and AMI deployments; R900 Gateway fixed network data collectors; and mobile data collection solutions.

The ideal candidate is someone who is already using AI tools daily in their engineering workflows, has strong opinions about where AI accelerates quality outcomes, and is excited to build a team culture where AI fluency is a baseline expectation.

What We Mean by "AI First"

Our firmware engineering organization is committed to leading AI adoption, not just experimenting
with it.

For this role, that means:

• AI is embedded in the workflow, not bolted on.

You'll integrate AI tools like Claude,
Claude Code, CodeRabbit, Qodo, and emerging AI-powered testing platforms directly into
day-to-day QA operations, from test case generation and code review to defect triage and
root cause analysis.

• You'll hire and develop AI-fluent engineers.

When building your team, AI proficiency is a
core competency, not a bonus.

You'll set expectations that every QA engineer on your team
actively uses AI tools to multiply their effectiveness.

• You'll measure AI's impact.

You'll establish metrics to quantify how AI tooling improves
test coverage, defect detection rates, time-to-release, and overall team throughput, and
you'll use that data to drive continuous improvement.

• You'll push boundaries.

You'll continuously evaluate emerging AI capabilities and
advocate for their adoption where they can meaningfully improve firmware quality, from
AI-generated test harnesses to LLM-assisted specification analysis and anomaly detection in
field data.

Key Responsibilities

AI-Driven QA Strategy & Process

• Define and own the firmware QA strategy across the full product portfolio.

• Architect QA workflows that leverage AI for test case generation, automated code review,
regression analysis, and intelligent defect prioritization.

• Establish and continuously improve QA processes, testing frameworks, and quality metrics
aligned with the firmware development lifecycle.

• Develop and maintain comprehensive test plans, test cases, and traceability matrices that
map to product requirements, using AI to accelerate creation and maintenance.

• Champion a quality-first culture within the firmware organization, integrating Q...