9 meilleures offres (computing systems engineer) (à pourvoir)

Research Data Engineer
LIGENTEC —Ecublens, VD
- Télétravail
- Anglais
- Niveau Master
- SQL
20 h
Software Engineering, Site Reliability Engineering BS/MS Intern, 2027
Google —Zürich, ZH
- De 53 000 CHF à 560 000 CHF par an
- 100%
- Informatique
- Anglais
- Recherche
16 h
Health & Safety Manager, Data Center Health and Safety , Data Center Health and Safety
Amazon Data Services Switzerland GmbH —Zürich, ZH
- 100%
- Anglais
- AWS
- Construction et rénovation
Senior Compiler Engineer
NextSilicon —Zürich, ZH
- Niveau Doctorat
- Niveau Master
- C++
Postuler rapidement
HPE Labs - EMEA Research Lab Ph.D. Intern
Hewlett Packard Enterprise —Bâle, BS
- 100%
- Niveau Doctorat
- Recherche
- Niveau Master
Sr. Delivery Consultant - Security, Global ProServe Security
AWS EMEA SARL (Switzerland Branch) —Genève, GE
- 100%
- AWS
Senior GPU Networking Architect
NVIDIA —Zürich, ZH
- De 292 500 CHF à 650 000 CHF par an
- 100%
- Informatique
- Compétences rédactionnelles
- Niveau Master
Senior Infrastructure Business Operations Manager
Roche —Bâle, BS
- 100%
- Esprit d'analyse
- Niveau Licence
- Compétences en communication
Senior Marketing Manager
Domera Labs —Zürich, ZH
- De 65 000 CHF à 100 000 CHF par an
- 100%
- Leadership
- Python
Postuler rapidement
il y a 14 jours

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Research Data Engineer

LIGENTEC
Ecublens, VD

Soumettre votre candidature

Détails de l'emploi

CDI
Il y a 20 heures

Qualifications

Spark
Git
Anglais
Niveau Master
Bash
SQL
Metadata
Python

Description complète du poste

About us

We're a multicultural team of experts pushing the boundaries of what's possible in integrated optics. Our mission is to make photonic integration accessible and industrially scalable. We deliver best-in-class PIC platforms, design enablement, and integrated solutions that empower our customers to innovate faster and bring light-based technologies from concept to production.

About the role

As a Research Data Engineer, you will build the analysis library our engineering teams use to turn test data into decisions, and connect the data flows that feed it. Both build on existing data infrastructure. In this high-impact position, you will own the infrastructure and conventions that let data move reliably between teams and stay traceable from layout through to measurement, working directly with the people who use what you build.

Role and Responsibilities

Analysis library:

Architect a Python library centered on pipeline orchestration for characterization data.
Ensure abstraction between analysis logic and underlying file formats or storage schemas.
Develop scalable solutions for local, remote, and distributed execution environments.
Integrate logging and transformation lineage for dataframes with database export capabilities.
Cater to both exploratory R&D and production-level quality assurance workflows.
Provide documentation and support to facilitate technical adoption across internal teams.

Data flow and lineage:

Build multi-site infrastructure for test data and metadata storage.
Develop ingestion mechanisms for relational database metadata updates.
Enable cross-team automation via metadata handshakes and metrology plan scripting.
Standardize retrieval and storage conventions to ensure end-to-end data traceability.

What you bring

MSc in Computer Science, Engineering, or a scientific discipline (or equivalent practical experience).
5+ years of experience working with data in an R&D, research center, or instrument-heavy environment.
Strong Python expertise with experience designing libraries and APIs.
Proficiency with SQL, Git, and UNIX/bash.
Experience building and running ETL/ELT pipelines with modern orchestrators (Prefect, Airflow, Dagster, or similar) in production.
Familiarity with scientific data formats (HDF5, Zarr, Parquet) and structured data storage concepts (object storage, relational catalogs).
Strong written and spoken English skills; ability to coordinate and unify workflows across independent teams.
Openness to adopting new frameworks and state-of-the-art data tools.

Nice to have:

Domain expertise in integrated photonics or wafer-level fabrication processes.
Practical experience with distributed computing frameworks (Ray, Dask, Spark) and high-volume data handling.
Knowledge of data lineage systems and metadata cataloging solutions.

What we offer

A dynamic role at the heart of the deep-tech revolution where your technical expertise directly impacts product adoption. You will join an international team of specialists, gain deep exposure to market-leading photonic applications, and shape how photonic integration is deployed worldwide.

Practicalities

Location: Lausanne, Switzerland (Onsite).
Work percentage: 100%.
Languages: English is our working language, other languages are a plus.
Home office: Up to two days per week.
Start date: As soon as possible.

We are an equal-opportunity employer and welcome applications from all backgrounds.

Please submit your application through our career page.

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computing systems engineer emplois

Research Data Engineer

Software Engineering, Site Reliability Engineering BS/MS Intern, 2027

Health & Safety Manager, Data Center Health and Safety , Data Center Health and Safety

Senior Compiler Engineer

HPE Labs - EMEA Research Lab Ph.D. Intern

Sr. Delivery Consultant - Security, Global ProServe Security

Senior GPU Networking Architect

Senior Infrastructure Business Operations Manager

Senior Marketing Manager

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : computing systems engineer

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