7 beste Stellen als lead tooling engineer – aktuell auf Personalsuche

LLM Architect
Giotto.ai —Lausanne, VD
- 100%
- Homeoffice
- Doktorat
- Forschungserfahrung
- Master
Direkt bewerben
Intern Software Engineer
Stadler Rail AG —Wallisellen, ZH
- 100%
- Englisch
- C++
- SPS-Steuerung
1 Tag
Senior Web / Software Developer – Atlassian Confluence & Microsoft SharePoint (80-100%)
Vontobel Holding AG —Zürich, ZH
- Englisch
- Bachelor
- JavaScript
Account Executive - Splunk (Global Pharma)
Cisco Systems —Zürich, ZH
- 100%
- Management-Erfahrung
- Englisch
- Bachelor
7 Tage
Senior Frontend Engineer
Evooq —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- JavaScript
Direkt bewerben
Senior iOS Mobile Developer
Specialized —Cham, ZG
- 100%
- Mentoring
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- Kommunikationsfähigkeit
14 Tage
Staff Frontend Engineer (f|m|d) | (80-100%) | Hybrid working model | Zurich
SMG Swiss Marketplace Group AG Switzerland —Zürich, ZH
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- Englisch
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LLM Architect

Giotto.ai -
Lausanne, VD

Direkt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Doktorat
Forschungserfahrung
Master
Docker
Röntgen
Führungserfahrung
Python

Vollständige Stellenbeschreibung

Giotto.ai is a Switzerland-based AI company building intelligence systems for Switzerland and Europe.

Our mission is to build AI capabilities that enable Switzerland and Europe to preserve strategic independence, cultural identity, and core values while achieving world-class performance in advanced reasoning systems.

Our research has demonstrated strong performance on international benchmarks such as ARC-AGI. We are now building the next generation of production AI systems focused on reasoning, efficiency, and scalable deployment.

The Role

We are looking for a senior engineer to help architect and build large-scale AI systems around LLMs, reasoning models, and distributed inference infrastructure.

You will work on core AI architecture problems:

scalable inference systems
distributed training pipelines
reasoning-oriented model architectures
efficient serving and orchestration
production systems for advanced AI workloads

Depending on your profile, you may operate as:

a highly autonomous senior individual contributor
a technical lead for a core AI initiative
or an architect helping shape the long-term direction of our AI stack

We value people who combine deep technical judgment with strong execution.

What You’ll Work On

Architecting production-grade LLM systems
Designing scalable inference and training infrastructure
Optimizing performance across GPU and distributed environments
Building systems around reasoning and agentic workflows
Improving efficiency, latency, reliability, and throughput
Working closely with research teams to bring frontier ideas into production
Contributing to the long-term technical direction of sovereign AI systems in Europe

Core Technologies

Python
PyTorch
Hugging Face ecosystem
Large Language Models (LLMs)
vLLM
Distributed systems
Ray
Docker
Kubernetes

Strongly Valued Experience

Designing or operating large-scale LLM systems
Distributed inference or training at scale
CUDA programming or GPU optimization
Systems-level performance engineering
Experience with model serving infrastructure
Technical leadership on complex AI systems
Research or engineering work on reasoning models
Experience in high-performance engineering environments

Ideal Profile

5+ years building ML/NLP systems
Strong expertise in Python and PyTorch
Proven experience deploying ML systems into production
Deep understanding of transformer architectures and modern LLM systems
Experience with distributed compute environments
Comfortable operating in fast-moving research + production settings
Strong ownership mindset and ability to work from first principles

We especially appreciate candidates who have built difficult systems end-to-end and can speak concretely about trade-offs, failures, scaling challenges, and engineering decisions.

Nice to Have

PhD in Computer Science, Mathematics, Physics, or related hard sciences
Experience at top-tier AI labs or large-scale technology companies
Background in systems optimization or infrastructure engineering
Competitive programming or Olympiad background (IMO, IOI, IPhO, etc.)
Open-source contributions in ML infrastructure or LLM tooling

Location & Work Style

We offer full-time employment in Switzerland.

Hybrid setup:

Remote work fully supported
Team gathers one week per month in the Swiss office

Exceptional candidates elsewhere in Europe may also be considered.

Why Giotto.ai

We are building frontier AI systems with a small, highly technical team focused on reasoning, efficiency, and sovereignty.

This is an opportunity to work on foundational AI infrastructure and architecture problems with meaningful technical ownership from day one.

Direkt bewerben

Erweiterte Suche

lead tooling engineer Jobs

LLM Architect

Intern Software Engineer

Senior Web / Software Developer – Atlassian Confluence & Microsoft SharePoint (80-100%)

Account Executive - Splunk (Global Pharma)

Senior Frontend Engineer

Senior iOS Mobile Developer

Staff Frontend Engineer (f|m|d) | (80-100%) | Hybrid working model | Zurich

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