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Startup Job / Mitgründer / Praktika: ML Infrastructure Engineer

Veröffentlicht am 26. Okt. 2026

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Neuralfinity

Hamburg

EnglischDeutsch nicht nötig

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Job Fit

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Gehalt (Schätzung)

Grobe Schätzung: etwa 55.000 €/Jahr

Über diese Stelle

(m/w/d) -

rtup Full-Time Job

As a fast-growing deep tech startup, our mission is to unlock the true potential of generative AI for startups, enterprises, and the public sector. Our research-driven platform provides customers with the tools to develop custom AI models designed to meet their specific needs, leveraging high-quality data and adhering to the highest standards of data privacy.

Details about the role

As ML Infrastructure Engineer you’ll be part of building the next-generation AI training platforms. You will architect and implement the infrastructure that powers our large-scale language and vision model training operations, working across bare metal GPU clusters and cloud environments. You’ll be at the intersection of high-performance computing and modern DevOps, designing automated solutions for cluster deployment, optimization, and management. This is a unique opportunity to tackle complex challenges in distributed systems while working with cutting-edge AI technologies. You’ll play a crucial role in developing the infrastructure that enables our ML teams to efficiently train and deploy large-scale models, from designing high-performance GPU clusters to implementing sophisticated orchestration systems for distributed training workloads.

Responsibilities:

Design and implement scalable infrastructure for large GPU clusters
Develop and maintain automated deployment systems for standing up GPU clusters
Create and maintain Infrastructure as Code (IaC) templates
Design and implement job scheduling and workload management systems
Collaborate with ML engineers to optimize training infrastructure
Develop automation tools and scripts for cluster management
Implement security best practices and compliance measures

Strong expertise in Infrastructure as Code tools
Proven experience with container orchestration platforms
Deep understanding of networking concepts
Experience with CI/CD tools and practices
Proficiency in infrastructure automation programming languages
Demonstrated experience with GPU computing and technologies

Opportunity to work in a fast-growing startup environment
Competitive salary & equity compensation
Networking opportunities within the industry
Remote work from anywhere
Flexible working hours
Rapid career growth opportunities

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

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Eckdaten der Stelle

Arbeitgeber: Neuralfinity
Position: Startup Job / Mitgründer / Praktika: ML Infrastructure Engineer
Stadt: Hamburg
Arbeitsmodell: nicht angegeben
Sprache: Englisch
Erfahrungsstufe: nicht angegeben
Veröffentlicht: 26. Okt. 2026
Quelle: XING

Startup Job / Mitgründer / Praktika: ML Infrastructure Engineer

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