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Product Reliability Engineer

Normal Computing

Hybrid
New York, NY
Full-time
Mid Level
Senior
$185k–$250kPosted 4w ago

Real job — pulled straight from Normal Computing’s careers page · Verified July 15, 2026 · No reposts.

Job description

Normal Computing is hiring a Product Reliability Engineer — a full-time, based in New York, NY role ($185k–$250k). Apply directly on Normal Computing's careers page below.

Product Reliability Engineer

Department: Engineering

Location: New York City, London, Copenhagen

Compensation: $200K – $400K • Offers Equity

Employment Type: FullTime

About Normal Computing

Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt.

 

We co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing.

 

Normal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority.

The Role

As our Product Reliability Engineer, you will build the validation and quality systems that 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 treats modern AI and agentic tools as the primary way the 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.

What You Will Own

  • Validation Systems: Build automated validation and reliability systems across key product workflows.

  • AI-Native Tooling: Use LLMs and agents as core tooling for testing, debugging, validation, and quality workflows.

  • Automation: Translate repetitive manual validation workflows into scalable automation; develop tooling that improves regression testing, release validation, and issue reproduction.

  • Reliability Partnership: Partner with product engineers to understand user workflows, define expected behavior, and identify reliability gaps.

  • Failure Analysis: Investigate bugs, reproduce issues, document failure patterns, and convert recurring problems into durable automation.

  • Cross-Team Quality: Collaborate with engineers across frontend, backend, ML, and infrastructure to improve product reliability.

What Makes You a Great Fit

  • Fluent in using LLMs and agentic tools as primary tooling in your daily engineering work, including generating tests, reproducing bugs, and automating validation

  • 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 debugging instincts and attention to detail, able to turn ambiguous issues into clear technical problems with intuition for how complex systems fail in practice

Bonus Points

  • 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.

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Frequently asked questions

What is the salary for Product Reliability Engineer at Normal Computing?

The estimated salary range for Product Reliability Engineer at Normal Computing is $185,000 - $250,000 USD per year.

What skills are required for Product Reliability Engineer at Normal Computing?

The required skills for Product Reliability Engineer at Normal Computing include: Python, LLM, CI/CD.

What is the seniority level for Product Reliability Engineer at Normal Computing?

Product Reliability Engineer at Normal Computing is a Mid Level / Senior / Staff / Principal level position.

How do I apply for Product Reliability Engineer at Normal Computing?

You can view the full description and apply for Product Reliability Engineer at Normal Computing on EchoJobs: https://echojobs.io/job/normal-computing-product-reliability-engineer-an959.