20 beste Stellen als data architect in zürich, zh – aktuell auf Personalsuche

Staff Engineer - GPU/HPC Semiconductor Manufacturing Simulation
Synopsys —Zürich, ZH
- Homeoffice
- Doktorat
- C++
- Vor Ort
11 Tage
IBM STOREDIQ ARCHITECT ( FULLY REMOTE CONTRACT)
Ubique Systems —Zürich, ZH
- Homeoffice
- Linux
- Python
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Neura Robotics —Zürich, ZH
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ELCA Informatique SA —Zürich, ZH
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- Englisch
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Sonio AG —Baar, ZG
- 100%
- Englisch
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On AG —Zürich, ZH
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Digitec Galaxus AG —Zürich, ZH
- Teilzeit
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Blockstream —Zürich, ZH
- 100%
- Management-Erfahrung
- Englisch
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Data360 & Agentforce Architects
Salesforce —Zürich, ZH
- 100%
- Salesforce
- Englisch
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Datahouse AG —Zürich, ZH
- Homeoffice
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Tether Operations Limited —Zürich, ZH
- 100%
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- Informatik
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- Englisch
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TTMS Schweiz AG —Zürich, ZH
- Homeoffice
- JavaScript
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Customer Engineer, Platform, Retail, Travel and Logistics (German)
Google —Zürich, ZH
- 100%
- Bachelor
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Director of Global Customer Service
On AG —Zürich, ZH
- Kundendienst
- Englisch
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On AG —Zürich, ZH
- Englisch
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10 Tage
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Julius Baer —Zürich, ZH
- 100%
- Englisch
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Salesforce Solution Architect
Kreis 1 Consulting —Zürich, ZH
- Homeoffice
- Salesforce
- Englisch
- Marketing
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Platform Owner 100% (f/m/d)
Julius Baer —Zürich, ZH
- 100%
- Management-Erfahrung
- Englisch
- Master
ML Infra Engineer
Flexion Robotics —Zürich, ZH
- 100%
- AWS
- Erfahrung mit Netzwerken
- Vor Ort
Direkt bewerben
Senior Analytics Engineer - Customer Operations (f/m/d)
Digitec Galaxus AG —Zürich, ZH
- Teilzeit
- Datenanalyse
- Englisch
- SQL

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Staff Engineer - GPU/HPC Semiconductor Manufacturing Simulation

Synopsys -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

vor 11 Tagen

Qualifikationen

Doktorat
C++
Geometrie

Vollständige Stellenbeschreibung

Date posted 05/21/2026

Category Engineering Hire Type Employee Job ID 17544 Remote Eligible No Date Posted 05/21/2026

We Are

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

You bring deep expertise in high-performance computing and computational physics, translating complex physical models into production-grade, GPU-accelerated software. You contributed to scalable systems across distributed GPU clusters, with strong understanding of memory hierarchies and robust, trusted code for critical applications.

Your work will accelerate simulations, and enable more confident decisions in semiconductor fabrication. At Synopsys, you will develop TCAD simulation engines used globally—directly shaping how next-generation semiconductor technologies are designed and brought to life.

What You'll Be Doing

Design and implement GPU optimized algorithms and data structures for nano scale process simulation.
Profile, benchmark, and tune kernels across memory hierarchies to achieve state of the art throughput and scalability.

The Impact You Will Have

Accelerate semiconductor process development cycles at top-tier foundries by delivering order-of-magnitude simulation speedups through GPU optimization
Influence real fabrication decisions at leading manufacturers by providing faster, more accurate simulation results
Drive adoption of GPU-accelerated workflows across the semiconductor industry, setting new performance benchmarks for manufacturing simulation

What You'll Need

PhD in Computer Science, Engineering, or Applied Mathematics with 4+ years industry experience
Strong modern C++, CUDA, MPI and numerical methods with hands-on experience in HPC or GPU programming
Background in computational physics, 3D geometry, or scientific code optimization
Proven ability to architect and lead large-scale systems and deliver multi-year technical roadmaps
Experience with direct-simulation Monte Carlo or other particle-based methods is a plus
Multiphysics, plasma, or semiconductor process simulation experience is valued
Experience with platforms such as NVIDIA Omniverse, container runtime, NVIDIA PhysicsNeMo, or Apollo is a plus

The Team You'll Be Part Of

You will join the TCAD team in Zurich, working on GPU-accelerated simulation engines that power semiconductor manufacturing R&D at leading foundries and research labs worldwide. The team operates at the intersection of applied physics, numerical methods, and high-performance computing, building tools that directly influence how next-generation chips are fabricated.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

#TPG

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Jetzt bewerben

Erweiterte Suche

data architect Jobs in zürich, zh

Staff Engineer - GPU/HPC Semiconductor Manufacturing Simulation

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Cloud DataAI Architect - Azure, AWS, Databricks

Solution Architect – VMware (m/w/d)

Senior Specialist - Sports Science

Teamleader Software Engineering (f/m/d)

Solutions Architect

Data360 & Agentforce Architects

System Architect Wüest Dimensions 80-100% (w/m/d)

Machine Learning Systems Engineer

Senior Backend Developer

Customer Engineer, Platform, Retail, Travel and Logistics (German)

Director of Global Customer Service

Head of Non-Financial Reporting

System Architect for GPS ART (f/m/d) 100%

Salesforce Solution Architect

Platform Owner 100% (f/m/d)

ML Infra Engineer

Senior Analytics Engineer - Customer Operations (f/m/d)

Ich möchte aktuelle Job-E-Mails für Stellen als data architect in zürich, zh erhalten

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Category Engineering Hire Type Employee Job ID 17544 Remote Eligible No Date Posted 05/21/2026

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