Normal Computing

Product Reliability Engineer

Normal Computing  •  $185k - $250k/yr  •  New York City, NY (Onsite)  •  14 days ago
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Job Description

Normal Computing | Incredible Opportunities

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.

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

What Makes You A Great Fit:

  • 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

Bonus Points For:

  • 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

Equal Employment Opportunity Statement

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.

Accessibility Accommodations

Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.

Privacy Notice

By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

Normal Computing

About Normal Computing

At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the physical world. We are tackling problems across semiconductors and industrials with a mix of interdisciplinary approaches across the full stack: from probabilistic software infrastructure and algorithms to hardware and physics, enabling AI that can reason and understand its own limits.

We understand that our technology is only as powerful as the people behind it. Every employee drives significant impact within our products, often working directly with customers and embedding across our tightly-knit team. Our team members are driven by curiosity and passion for solving some of the most challenging problems in the world of atoms.

Normal was founded in 2022 by engineers and scientists that pioneered industry-leading Physics + ML tools for next-gen AI at Google Brain and Google X.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
New York, NY
Year Founded
2022
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