1 час назад
Release Manager & QA Engineer (AI)
150 000 - 170 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Release Manager & QA Engineer (AI): Validating AI models and a web platform while managing production deployment cycles with an accent on automated testing, numerical accuracy, and release governance. Focus on designing Python and Playwright test suites, comparing thermal and mechanical AI outputs with FEA benchmarks, and coordinating Go/No-Go decisions for customer releases.
Location: Hybrid, Palo Alto HQ, United States
Salary: $150K–$170K per year
Company
builds a physics foundation model that enables continuous physical reasoning for hardware engineering and supports production engineering programs in semiconductor companies.
What you will do
- Own versioning, production deployment approvals, Go/No-Go decisions, deployment pipelines, and customer installations.
- Design and execute system integration tests for the AI models and web platform, scaling testing through automation.
- Build and maintain end-to-end automation frameworks with Python and Playwright.
- Validate AI-generated thermal and mechanical results against traditional FEA benchmarks.
- Translate technical updates into release notes and actionable information for technical and non-technical customers.
- Coordinate with AI/ML specialists, thermal and mechanical engineers, and software developers.
Requirements
- 6+ years of experience in software quality engineering and comprehensive test-plan design.
- Ability to convert complex engineering requirements into structured test logic and procedural instructions.
- Strong attention to detail, risk evaluation, and release decision-making skills.
- Experience with deployments in Linux/Debian environments and tools such as GitHub Actions, Docker, or Jenkins.
- Ability to work in a hybrid role based at the Palo Alto headquarters.
Nice to have
- Familiarity with CAD/CAE formats including GDSII, OASIS, STEP, ECXML, or IPC.
- Knowledge of thermal or mechanical simulation concepts.
- Experience testing HPC applications or GPU-accelerated software.
Culture & Benefits
- Work at the intersection of advanced AI, real-world engineering, and customer success.
- Help define the future of AI-assisted hardware design.
- Collaborate with engineers and researchers in a fast-moving startup environment.
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