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TUM Venture Labs – Expert AI Infrastructure & Frontier Models (m/f/d)

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EMP:Technology
München Kreativquartier
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usAI Triangle is a joint initiative of TUM Venture Labs, the ETH AI Center, IPAI and Campus Founders, backed by TU Munich and ETH Zürich

Further AI entrepreneurship centers and universities will join.

Our mission: to build a leading AI cluster spanning Baden-Württemberg, Bavaria, and Switzerland - one that turns the region's research excellence into globally relevant companies.

Our philosophy in three words: Research.

The OpportunityWe are hiring an Expert AI Infrastructure & Frontier Models to drive the Build phase.

Your job: create the formats and support structures that let founders and hubs turn academic breakthroughs into frontier AI solutions and the next generation of AI companies - across key hubs and their partner institutions.

Concretely, you build the formats that:Lower the barriers to infrastructure, inference, data, and evaluation, andSpark innovation around frontier models and platforms.

The ChallengeThis is a deliberate hybrid role, and we want to be honest about that up front.

It joins two profiles that rarely coexist in a single person:The deep technical judgment on large-scale AI infrastructure to build and run frontier AI models (pre- and post-training, inference, data engineering, evaluation,.

)The instinct to strategically build solutions with ecosystem partners that help researchers and founders to overcome the hurdlesYou will move between two worlds: deep technical conversations with ML-infrastructure experts from CSCS/ALPS, Jülich, AWS, Google, and NVIDIA, and high-impact discussions with top innovators and early founders emerging from ecosystems like TUM, ETH, and IPAI.

If that combination energizes you, read on.

Your missionDrive hub collaboration: align technical leads across the hubs and lead flagship projects that catalyze real, cross-border cooperation.

Shape frontier model development: Define approaches to frontier model development with partners and founders that address the current challenges.

Build the open innova.

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