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

UnternehmerTUM gGmbH; München; Hybrid; EUR 90.000 - 135.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Remote-work options

Training budget

Wellpass & mobility budget

Zusammenfassung

AI Triangle seeks an expert in AI infrastructure and frontier models to drive the Build phase across regional hubs and partner institutions. You will craft formats and support structures that reduce barriers to infrastructure, inference, data, and evaluation, enabling researchers and founders to turn breakthroughs into scalable AI solutions.

You will balance deep technical judgment with strategic ecosystem-building, collaborating with universities, entrepreneurship centers, and startups to shape

Qualifikationen

• Senior expert in ML training and infrastructure with hands-on experience across data, pre- and post-training, inference, and deployment.

Aufgaben

• Drive hub collaboration across hubs and lead flagship projects that catalyze cross-border cooperation.
• Shape frontier model development with partners and founders to address current challenges in production-ready AI.
• Build the open innovation layer with sandboxes and APIs to accelerate builder initiatives.
• Enable future founders and startups by designing education and support formats for scaling models, data, and compute into products.
• Map and improve the landscape by analyzing compute, data, model architectures, training approaches, and evaluation resources across the Triangle.
• Coordinate compute access across STACKIT, ALPS, KI Service-Centers, and cloud providers for founders and startups.
• Steer data and evaluation by managing shared training-data access and sector-specific benchmarks.

Kenntnisse

ML infrastructure

MLOps

Cloud

Data engineering

Tools

AWS

Google Cloud

Kubernetes

NVIDIA GPUs

Jobbeschreibung

About us

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 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, and Spark innovation around frontier models and platforms.

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.

You 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 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

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

Carina Schreyer Head of People & Culture Lichtenbergstraße 6, 85748 Garching/München