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

Senior Staff Forward Deployed Engineer, GenAI, Google Cloud
Google —Zürich, ZH
- 100%
- Niveau Doctorat
- Niveau Master
- Niveau Licence
1 h
Senior Infrastructure Business Operations Manager
Roche —Bâle, BS
- 100%
- Esprit d'analyse
- Niveau Licence
- Compétences en communication
il y a 7 jours
Nexus Labs - Smart Contract Engineer
deCircle —Zürich, ZH
- 100%
- Télétravail
- Informatique
- Esprit d'analyse
- Niveau Licence
Postuler rapidement
Standard Custom Design Engineer
Synthara AG —Zürich, ZH
- Niveau Doctorat
- Niveau Master
- Python
(Senior) VMware Solution Architect – 100%
SOULTEC AG —Dübendorf, ZH
- 100%
- Anglais
- Aide au transport
Sr. Delivery Consultant – AI ML, Professional Services, AWSI HCLS
AWS EMEA SARL (Switzerland Branch) —Genève, GE
- 100%
- Bar
- Militaire
- Bases de données
il y a 8 jours
Tech Lead
Verity —Zürich, ZH
- 100%
- Gestion du personnel
- Anglais
- AWS
Senior Compiler Engineer
NVIDIA —Zürich, ZH
- 100%
- Niveau Master
- C++
- Niveau Licence
Solutions Architect, Enterprise, Europe-Central Solutions Architect
AWS EMEA SARL (Switzerland Branch) —Genève, GE
- 100%
- Bar
- AWS
- Développement logiciel
DevOps Engineer III (Data Platform)
Bundesverwaltung - Eidgenössisches Departement für Verteidigung, Bevölkerungsschutz und Sport VBS —Wald, ZH
- Anglais
- Linux
Research Engineer, Production Model Post-Training
Anthropic —Zürich, ZH
- Travail le week-end
- Niveau Licence
- Compétences en communication
- Python
- Congé parental payé
Senior GPU Networking Architect
NVIDIA —Zürich, ZH
- De 292 500 CHF à 650 000 CHF par an
- 100%
- Informatique
- Compétences rédactionnelles
- Niveau Master
Senior Compiler Engineer
NextSilicon —Zürich, ZH
- Niveau Doctorat
- Niveau Master
- C++
Postuler rapidement
PostDocs and/or Senior Engineers in Electromagnetics
IT'IS Foundation —Zürich, ZH
- Niveau Doctorat
- Anglais
- C++
HPE Labs - EMEA Research Lab Ph.D. Intern
Hewlett Packard Enterprise —Bâle, BS
- 100%
- Niveau Doctorat
- Recherche
- Niveau Master
Machine Learning Engineer
Giotto.ai —Lausanne, VD
- 100%
- Télétravail
- Niveau Doctorat
- Python
Postuler rapidement
Software Engineer III, Search Quality
Google —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Niveau Master
1 h

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Senior Staff Forward Deployed Engineer, GenAI, Google Cloud

Google -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 1 heure

Avantages

Logement

Qualifications

Niveau Doctorat
MCP
Google Cloud Platform
Niveau Master
Niveau Licence
Équipement informatique

Description complète du poste

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience in cloud computing or a technical customer-facing role.
Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP).
Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
Experience leading technical discovery sessions.

Preferred qualifications:

Master’s or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Experience identifying business problems and translating complex hardware/AI constraints for C-suites and technical teams.
Experience influencing and driving outcomes with cross-functional teams on engagements of high complexity and large scope and scale.
Experience performing discovery interviews to identify business problems and translate hardware/AI constraints for C-suites and technical teams.
Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. Your role is designed for high-agency engineers with a founder’s mindset as you will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll leverage Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol. (MCP) servers) that drive measurable Return on Investment (ROI).
Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

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

Senior Staff Forward Deployed Engineer, GenAI, Google Cloud

Senior Infrastructure Business Operations Manager

Nexus Labs - Smart Contract Engineer

Standard Custom Design Engineer

(Senior) VMware Solution Architect – 100%

Sr. Delivery Consultant – AI ML, Professional Services, AWSI HCLS

Tech Lead

Senior Compiler Engineer

Solutions Architect, Enterprise, Europe-Central Solutions Architect

DevOps Engineer III (Data Platform)

Research Engineer, Production Model Post-Training

Senior GPU Networking Architect

Senior Compiler Engineer

PostDocs and/or Senior Engineers in Electromagnetics

HPE Labs - EMEA Research Lab Ph.D. Intern

Machine Learning Engineer

Software Engineer III, Search Quality

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