Product Reliability Engineer
Posted about 1 month ago
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 [email protected].
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 was founded in the USA by former members of Google Brain and Google X who helped pioneer AI for the physical world, and developed the leading ML frameworks for Probabilistic and Quantum AI. The infrastructure powering AI models was never designed with today’s scale, complexity, or energy demands in mind. Today's general-purpose architectures underutilize the physical potential of the hardware itself. By aligning hardware design with the intrinsic properties of physical systems, we can transform efficiency. We believe that exploring the limits of new and custom silicon, including those which optimize their own physics, requires the help of AI, better EDA software, and ultimately the realization of a virtuous cycle of self-improving AI hardware. We deliver our software and hardware with the largest semiconductor design and manufacturing institutions, a responsibility which entails individual ownership and deep partnership. We are a diverse, lean team of the world's best engineers, scientists, and operators, with offices in New York City, San Francisco, London, and Copenhagen.
Key team members

Johann George

John Ferneborg

Craig Churchill

Peter Vigil
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