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

Software Engineer III, Search Quality
Google —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Niveau Master
20 h
HPE Labs - EMEA Research Lab Ph.D. Intern
Hewlett Packard Enterprise —Bâle, BS
- 100%
- Niveau Doctorat
- Recherche
- Niveau Master
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
Sr. Delivery Consultant - Security, Global ProServe Security
AWS EMEA SARL (Switzerland Branch) —Genève, GE
- 100%
- AWS
il y a 9 jours
Machine Learning Engineer for Next Generation Triggers (NGT) (IT-CD-PI-2026-177-LD)
CERN —Genève, GE
- À partir de 9 236 CHF par mois
- 100%
- Travail hybride
- Gestion du personnel
- Anglais
- Recherche
Postuler rapidement
2 h
Low Latency MM Engineer
G-20 Group —Zürich, ZH
- 100%
- Assemblage
- C++
- Réseaux informatiques
Postuler rapidement
17 h

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Software Engineer III, Search Quality

Google -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 20 heures

Avantages

Logement

Qualifications

Informatique
Niveau Doctorat
Niveau Master
Niveau Licence
Développement logiciel
Debugging

Description complète du poste

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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computing systems engineer emplois

Software Engineer III, Search Quality

HPE Labs - EMEA Research Lab Ph.D. Intern

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

Sr. Delivery Consultant - Security, Global ProServe Security

Machine Learning Engineer for Next Generation Triggers (NGT) (IT-CD-PI-2026-177-LD)

Low Latency MM Engineer

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