20 beste Stellen als tooling engineer in zürich zh – aktuell auf Personalsuche

Member of Technical Staff – AI Research Engineer (Image/Video Foundation Models)
GenPeach AI —Zürich, ZH
- 100%
- Python
Direkt bewerben
RT & Kernel Engineer (human)
Neura Robotics —Zürich, ZH
- 100%
- Analysefähigkeit
- C++
- SPS-Steuerung
Direkt bewerben
6 Tage
Palantir Foundry Engineer (Zurich or Lausanne, Switzerland)
Unit8 SA —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Python
- Erfolgsbeteiligung
- Eltern-/Erziehungsurlaub
Direkt bewerben
Internship Production Engineer (12 months)
DECTRIS —Baden, AG
- 100%
- Homeoffice
- Englisch
- Kommunikationsfähigkeit
Lead Kernel Engineer/Architect
EPAM Systems, Inc. —Zürich, ZH
- C++
- Bachelor
- Ohne Hochschulabschluss
- Eltern-/Erziehungsurlaub
- Pensionskasse
M365 Collaboration engineer
LGT Capital Partners —Pfäffikon, ZH
- 100%
- Homeoffice
- Englisch
- SharePoint
- Kommunikationsfähigkeit
Dynamics, System Identification & Estimation Engineer - PLA (Mensch)
Neura Robotics —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
Direkt bewerben
2 Tage
Engineering Software Manager
Consulteer —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- C++
Direkt bewerben
13 Tage
Technical Product Manager QVAC - 100% remote
Tether Operations Limited —Zürich, ZH
- Homeoffice
- Englisch
- C++
- Bachelor
Cloud Infrastructure Engineer - Support & Operations
Consulteer —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- AWS
- Bachelor
Direkt bewerben
Software Engineer Internship
Gravis Robotics —Zürich, ZH
- Überstunden
- Homeoffice
- Informatik
- Englisch
- Master
Senior Backend Engineer
Dentsu —Zürich, ZH
- 100%
- Informatik
- Englisch
- Bachelor
- Empfehlungsprogramm
Software Engineer - Infrastructure
Gravis Robotics —Zürich, ZH
- 100%
- Englisch
- Master
- AWS
16 Std.
Senior Software Engineer - Developer Experience
Cisco Systems —Zürich, ZH
- 100%
- Homeoffice
- Bachelor
Engineering Manager, Platform
Scandit —Zürich, ZH
- Überstunden
- Homeoffice
- AWS
- Führungserfahrung
- Kommunikationsfähigkeit
Locomotion & Whole-Body Control Engineer (Mensch)
Neura Robotics GmbH —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
6 Tage
Transformation Delivery Lead (Hybrid; m/f/x/d; 80-100%), Zurich (Zurich, CH)
Swiss Re —Zürich, ZH
- Hybrides Arbeiten
- Management-Erfahrung
- PMP
- Führungserfahrung
1 Tag
Senior Software Engineer
viboo —Dübendorf, ZH
- 100%
- Englisch
- Kommunikationsfähigkeit
- Python
Direkt bewerben
Security & Compliance Engineer
BLP Digital AG —Zürich, ZH
- 100%
- Homeoffice
- Informatik
- Master
- AWS
6 Tage
Senior Test Automation Engineer
Dentsu —Zürich, ZH
- 100%
- Homeoffice
- Englisch
- Python
- Empfehlungsprogramm

Ich möchte aktuelle Job-E-Mails für Stellen als tooling engineer in zürich zh erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

tooling engineer jobs near zürich zh

Jobs als Senior Automation Engineer in Zürich, ZH

Jobs als Back End Developer in Zürich, ZH

Jobs als Platform Engineer in Zürich, ZH

Jobs als System Engineer in Zürich, ZH

Jobs als Software Engineering Manager in Zürich, ZH

Jobs als Engineer in Zürich, ZH

Jobs als Technical Product Manager in Zürich, ZH

Jobs als Software Engineer in Zürich, ZH

Jobs als Ingenieur in Zürich, ZH

Jobs als Compliance Engineer in Zürich, ZH

Jobs als Infrastructure Engineer in Zürich, ZH

Jobs als Delivery Manager in Zürich, ZH

Jobs als Research Engineer in Zürich, ZH

Jobs als Senior Software Engineer in Zürich, ZH

Jobs als Software Engineer in St. Gallen, Sg

Jobs als Robotics Software Engineer in Zürich, Zh

Jobs als Back End Developer in Genève, Ge

Jobs als Week End, Étudiant in Payerne, Vd

Jobs als Net Developer in Genf, Ge

Jobs als Back End Developer in Lugano, Ti

Member of Technical Staff – AI Research Engineer (Image/Video Foundation Models)

GenPeach AI
Zürich, ZH

Direkt bewerben

Details zur Stelle

100%

Qualifikationen

Microsoft Project
Python
Debugging

Vollständige Stellenbeschreibung

About GenPeach AI

GenPeach AI is a product-driven research lab building vertical multimodal foundation models for hyper-realistic human generation in image and video – designed for emotionally resonant, human-centered AI experiences. Our goal is to create tools that supercharge human creativity rather than replace it.

We train models from scratch: proprietary datasets at massive scale, novel architectures and training recipes, large GPU clusters, and tight product integration so research ships to users quickly.

We are a deeply technical team of around 10 people. We’re advised by Directors from Google DeepMind and backed by leading AI-focused funds and angels from OpenAI, Meta AI, Microsoft AI, Project Prometheus, and Fal. Collectively, our team, advisors, and angels have contributed to models including Meta’s Imagine/MovieGen and foundation-model work behind OpenAI’s Sora, plus Google’s Veo and Gemini.

About the Team

You’ll join the research team working across image/video generation and multimodal understanding. You’ll work closely with other Research Engineers and Scientists, as well as Founders and help turn research into scalable training runs, strong evaluations, and production-ready systems.

About the Role

We’re hiring an AI Research Engineer to help build and scale GenPeach’s foundation models end-to-end – from implementing new model ideas and training recipes, to owning the parts of the training stack that determine quality and speed, to pushing models through production constraints.

This is a hands-on, high-ownership role. You’ll write research-grade code that becomes production-critical.

In this role, you will

Implement and iterate on image/video generative model ideas (architecture, losses, conditioning, sampling, pre-training, distillation, post-training)
Own training performance end-to-end (distributed training, throughput, memory, stability, debugging scaling failure modes)
Build the experimentation loop (evals, ablations, reproducibility tooling, reporting, decision hygiene)
Build and improve VLMs for image/video captioning (data recipes, training strategies, model variants, evaluation)
Run high-iteration research: read papers when useful, implement ideas, validate empirically
Create captioning pipelines that improve generation training and product quality
Partner with inference/product to ship under real constraints (latency, cost, reliability, rollout safety)
Build demos and prototypes to showcase capabilities and accelerate iteration

You might thrive in this role if you

Love the craft of experimentation: fast iteration, clear ablations, strong evals, and honest conclusions
Enjoy debugging messy real-world training runs (not just clean demos)
Can move between research and engineering: write clean code, ship utilities, and improve team velocity
Take ownership beyond your job description when needed (startup reality)
Communicate clearly and collaborate well in a small, senior team

Minimum Qualifications

Strong Python and PyTorch skills (4+ years of experience)
Experience implementing and training deep learning models (generative models, VLMs, LLMs, vision/video, or adjacent)
Solid understanding of training dynamics, optimization, and practical debugging
Ability to drive projects end-to-end with minimal supervision

Preferred Qualifications

Hands-on experience with diffusion/flow-based image or video generation, or large-scale generative modeling in adjacent domains
Experience with distributed training at scale (multi-node) and performance tuning (throughput/memory)
Experience building evaluation frameworks (offline metrics + human eval + regression tracking)
Strong intuition for data quality and dataset/labeling tradeoffs for training and captioning
Publications are a plus, but shipped impact and strong technical evidence matter more

What makes this role unique

Build frontier image/video models and the VLM captioning systems that power them
Join a lean, senior team that holds a high engineering + research bar
Direct product impact: your training runs become real user-facing capabilities
Benchmark against the best in the world and compete on model quality through what we ship

How we work

You own outcomes end-to-end and are trusted with real responsibility
Direct, low-ego communication and fast feedback loops
Bias toward impact: measure iterate ship
Research discipline: clear ablations, reproducibility, and crisp decision-making

Logistics

Location: Zurich (Switzerland) or Warsaw (Poland) — onsite or hybrid. If you’re elsewhere, we’re open to remote (team/timezone fit considered).
Compensation: competitive salary + meaningful equity (level-dependent)
Interview process: quick screen 2x technical rounds (practical + systems) team fit/values

What we offer

Visa sponsorship (where applicable); we’ll make a strong effort to relocate you to Switzerland or Poland if desired
Remote-friendly: work fully remote, hybrid, or on-site from our hubs
Regular offsites and in-person events to collaborate and connect
Flexible PTO

Direkt bewerben

Erweiterte Suche

tooling engineer Jobs in zürich zh

Member of Technical Staff – AI Research Engineer (Image/Video Foundation Models)

RT & Kernel Engineer (human)

Palantir Foundry Engineer (Zurich or Lausanne, Switzerland)

Internship Production Engineer (12 months)

Lead Kernel Engineer/Architect

M365 Collaboration engineer

Dynamics, System Identification & Estimation Engineer - PLA (Mensch)

Engineering Software Manager

Technical Product Manager QVAC - 100% remote

Cloud Infrastructure Engineer - Support & Operations

Software Engineer Internship

Senior Backend Engineer

Software Engineer - Infrastructure

Senior Software Engineer - Developer Experience

Engineering Manager, Platform

Locomotion & Whole-Body Control Engineer (Mensch)

Transformation Delivery Lead (Hybrid; m/f/x/d; 80-100%), Zurich (Zurich, CH)

Senior Software Engineer

Security & Compliance Engineer

Senior Test Automation Engineer