AI Triangle – Expert AI Infrastructure & Frontier Models (m/f/d)

UnternehmerTUM gGmbH

Heilbronn

Hybrid

EUR 90.000 - 130.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Flexible working hours
Remote-work options
Training budget
Mobility budget
Flat hierarchies

Zusammenfassung

UnternehmerTUM gGmbH is seeking an Expert AI Infrastructure & Frontier Models to drive the Build phase. You will design formats and ecosystems that enable researchers and founders to turn breakthroughs into frontier AI solutions—across our regional hubs.

The role demands deep ML infrastructure expertise, strategic vision, and the ability to build trusted relationships with universities, startups, and partners, all while balancing hands-on work with high-level architecture.

Qualifikationen

  • Senior expert in ML training and infrastructure (data to pre- and post-training, inference, data engineering, evaluation)
  • Ability to build trust with leading universities, entrepreneurship centers, and high-growth startups
  • Strategic clarity to turn infrastructure challenges into broad ecosystem strategies
  • Bridge-building between deep-tech research and applied technology with partners
  • Fluent in German and English, written and spoken

Aufgaben

  • Drive hub collaboration: align technical leads across hubs and lead flagship projects
  • Shape frontier model development with partners and founders to address current challenges
  • Build the open innovation layer: create sandboxes, APIs and formats for faster start-up iteration
  • Enable future founders and startups: design education and support formats for scaling models, data and compute into products
  • Map and improve the landscape: analyze compute, data, models, training approaches and evaluation resources across the triangle
  • Coordinate compute access: secure fair access across STACKIT, ALPS, KI Service-Centers, and cloud providers
  • Steer data and evaluation: manage shared training-data access, develop sector benchmarks, and scale know-how across the network

Kenntnisse

ML training
Cloud infrastructure
MLOps
Stakeholder networking
German & English

Jobbeschreibung

About us

AI 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. Build. Scale. The Opportunity We 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 & 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, and
  • Spark innovation around frontier models and platforms.
The Challenge

The Challenge This 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 hurdles
Your mission
  • Drive 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 innovation layer: create sandboxes, APIs and formats so the next wave of builders starts faster.
  • Enable future founders and startups: design the education and support formats that help teams scale models, data and compute into products.
  • Map and improve the landscape: continuously analyze the compute, data, model architectures, training approaches and evaluation resources across the Triangle and close the gaps.
  • Coordinate compute access: secure fair, workable access across STACKIT, ALPS, KI Service-Centers, and cloud providers for founders and startups.
  • Steer data and evaluation: manage shared training-data access, develop sector-specific benchmarks, and scale evaluation know-how across the network.
Your profile
  • Technical depth: you are a senior expert in ML training and infrastructure – from data to pre- and post-trainiang, inference, MLOps, and cloud.
  • Credibility and network: you have the standing to build trust with leading universities, entrepreneurship centers, and high-growth startups, and to be taken seriously as a peer.
  • Strategic clarity: you turn complex infrastructure challenges into strategies that work across an entire ecosystem.
  • Bridge-building: you connect deep-tech research with applied technology, build trusted relationships with founders and partners, and spar with them on hard decisions - with empathy and clarity.
  • Languages: fluent German and English, written and spoken.
What we offer
  • Direct work with world-class researchers, leading universities, and the next generation of deep-tech startups
  • Hands-on involvement with frontier compute, such as ALPS and STACKIT, to power next-generation models
  • Real room for ownership, creativity, and strategic influence
  • An experienced, open-minded team with flat hierarchies
  • Flexible working hours and remote-work options
  • A generous budget for internal and external training, Wellpass & monthly mobility budget
Diversity is important to us

Diversity makes our team stronger. We warmly encourage all qualified people to apply, regardless of gender, social or ethnic background, sexual orientation, religion, age, or disability.

Contact

Nadine Heuberger, People & Culture Manager, UnternehmerTUM GmbH, Lichtenbergstraße 6, 85748 Garching/München

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