# Release Manager & QA Engineer at Vinci

- Company: Vinci
- What the company does: Run full-resolution simulations in minutes. Vinci’s foundation model for physics unites AI acceleration with verified solvers for as-built accuracy. Backed by Khosla.
- Company website: https://www.getvinci.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: Palo Alto HQ
- Work setup: Remote
- Pay: $150K to $170K base salary per year (USD)
- Posted: 2026-08-25
- Apply by: 2026-10-09
- Apply: https://jobs.ashbyhq.com/vinci/5cb9274f-364b-470c-89f8-90c6b453686f
- Page: https://www.1752.vc/careers/jobs/vinci-release-manager-and-qa-engineer/

## About the role

Own the Release Lifecycle: Act as the final gatekeeper for production deployments, managing versioning, coordinating "Go/No-Go" decisions, and overseeing deployment pipelines and customer installations. Bridge Engineering & Product: Collaborate with AI/ML experts, thermal/mechanical engineers, and software developers to translate complex technical updates into actionable insights and release notes for both technical and non-technical customers.

## What they're looking for

- Quality Expertise: 6+ years of experience in software quality engineering with a mastery of designing comprehensive test plans. You excel at defining the "what" and "how" of a test suite before any code is written
- Test Architecture & Logic: The ability to translate complex engineering requirements into structured, unambiguous test logic. You can design clear procedural instructions that serve as a scalable blueprint for both manual execution and automation
- The "Gatekeeper" Mindset: Exceptional attention to detail and the analytical ability to perform rigorous risk evaluations. You can weigh technical defects against deployment schedules to make informed "Go/No-Go" decisions during fast-paced release cycles
- CI/CD & DevOps Literacy: Direct experience managing deployments within a Linux/Debian environment using tools such as GitHub Actions, Docker, or Jenkins
- Engineering Domain Knowledge: Familiarity with CAD/CAE data formats (GDSII, OASIS, STEP, ECXML, IPC) or basic concepts in thermal/mechanical simulation
- HPC Experience: Background in testing high-performance computing applications or software that heavily utilizes GPU acceleration

Tags: Engineering