# Member of Technical Staff, AI Compute & Data Infrastructure 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: $200K to $240K base salary per year (USD)
- Posted: 2026-09-15
- Apply by: 2026-10-30
- Apply: https://jobs.ashbyhq.com/vinci/9ec7701e-6eb4-4ab0-a74c-b78a9f3abea8
- Page: https://www.1752.vc/careers/jobs/vinci-member-of-technical-staff-ai-compute-and-data-infrastructure/

## About the role

Training a foundation model for physics means holding petabytes of simulation data and keeping GPU clusters saturated with it. We are hiring the engineer who will own that layer: the storage where our training data lives, and the compute the AI team trains and validates models on.

## What they're looking for

- 10+ years building large-scale distributed systems, including several years running GPU infrastructure for large model training
- Direct experience serving training data at petabyte scale, where throughput and storage cost were both constraints you had to answer for
- Experience setting scheduling and quota policy on shared GPU capacity, with a view on the tradeoff between fleet utilization and how long people wait in the queue
- A track record of building infrastructure whose users are researchers and engineers, and of being measured on what those users were able to do with it, not on the system itself
- Infrastructure you built that survived a substantial change in scale or in the character of the workload, with a clear account of what held up and what you had to replace
- A history of mentoring engineers and of teaching people outside your specialty enough to work on their own

Tags: Engineering