Product Reliability Engineer

Normal Computing Corporation•New York City, NY

About The Position

The Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, Seoul, and London. Your Role in Our Mission: As a Product Reliability Engineer, you will build the automation, validation workflows, and quality systems that help ensure our products work reliably in complex technical environments. You will work closely with engineering and product teams to understand key workflows, identify failure modes, and turn manual validation into automated systems. This role is ideal for someone who understands product quality and reliability deeply, writes scripts and automation fluently, and is excited by the opportunity to use modern AI and agentic tools to improve how software quality work gets done. You may spend one day building automated test coverage for a critical user workflow, another day using agents to accelerate regression testing, and another day partnering with engineers to debug and operationalize reliability improvements. We’re hiring someone who can bring structure, automation, and strong engineering judgment to the way Normal validates and ships software.

Requirements

Experience in QA automation, reliability engineering, test engineering, software engineering, or a closely related role
Strong scripting and automation skills, with the ability to write clean, practical code to automate repetitive or complex workflows
Experience building automated tests, validation frameworks, regression suites, or internal reliability tooling
Experience with CI/CD, release validation, observability, or production reliability workflows
Strong understanding of software quality, product behavior, and how complex systems fail in practice
Experience working closely with engineering teams in fast-moving technical environments
Comfort using modern AI coding tools or agentic workflows to improve testing, debugging, or development velocity
Strong debugging instincts, attention to detail, and ability to turn ambiguous issues into clear technical problems
Ability to operate independently, prioritize high-impact reliability work, and build systems that scale with the team

Nice To Haves

Experience testing developer tools, infrastructure products, EDA tools, ML systems, or other complex technical software
Experience using LLMs or agents to generate tests, validate outputs, reproduce bugs, or automate QA workflows
Experience working in a startup or small engineering team where ownership spans multiple areas

Responsibilities

Build automated validation and reliability systems across key product workflows
Translate repetitive manual validation workflows into scalable automation
Partner with product engineers to understand user workflows, define expected behavior, and identify reliability gaps
Develop tooling that improves regression testing, release validation, and issue reproduction
Use AI and agentic tools to accelerate testing, debugging, validation, and quality workflows
Create lightweight systems that help engineering teams ship quickly with higher confidence
Investigate bugs, reproduce issues, document failure patterns, and convert recurring problems into durable automation
Collaborate with engineers across frontend, backend, ML, and infrastructure to improve product reliability