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

Software Engineer, Agent Systems
Normal Computing Corporation —Zürich, ZH
- De 200 000 CHF à 400 000 CHF par an
- 100%
- Travail hybride
- Niveau Master
- Technologies de l'information
DevOps Engineer
ETH Zürich —Lugano, TI
- Temps partiel
- Recherche
- Développement logiciel
- Technologies de l'information
Systems Engineer – Platform Automation
ETH Zürich —Lugano, TI
- Temps partiel
- Gestion de projet
- Niveau Licence
- Linux
Software/Embedded Systems Engineer for Quantum Experimental Control and Automation
ETH Zürich —Zürich, ZH
- Temps partiel
- Anglais
- Recherche
- Niveau Master
Linux Systems Administrator (80-100%)
Universität Basel —Bâle, BS
- Anglais
- Recherche
- Scripting
- Formation continue
il y a 9 jours
Telecom and Network Infrastructure Technician (IT-FCS-DO-2026-173-LD)
CERN —Genève, GE
- À partir de 5 929 CHF par mois
- 100%
- Travail hybride
- Anglais
- Recherche
- Réseaux informatiques
Postuler rapidement
Database Infrastructure Engineer (IT-DA-DB-2026-174-LD)
CERN —Genève, GE
- À partir de 9 236 CHF par mois
- 100%
- Travail hybride
- Gestion du personnel
- Anglais
- Recherche
Postuler rapidement
Machine Learning Training Infrastructure Engineer
Logitech —Lausanne, VD
- 100%
- Niveau Doctorat
- Niveau Master
- AWS
- Travail à domicile
Drop-In Onsite Support Engineer
Zensar Technologies —Genève, GE
- Espagnol
- Microsoft Outlook
- Gestion du personnel
Computing Engineer: S3 Storage & Backup (IT-SD-TAB-2026-209-GRAE)
CERN —Genève, GE
- De 5 266 CHF à 5 793 CHF par mois
- 100%
- Travail hybride
- Informatique
- Niveau Doctorat
- Anglais
- Formation sur place
Postuler rapidement
il y a 1 jour
Research Software Engineer for Computational Mass Spectrometry
ETH Zürich —Zürich, ZH
- Temps partiel
- Gestion du personnel
- Niveau Doctorat
- Anglais
Staff Software Engineer, Google Cloud, Applied AI, Automotive AI Agent
Google —Zürich, ZH
- 100%
- Niveau Master
- C++
- Niveau Licence
Senior Staff Software Engineer, Full Stack
Google —Zürich, ZH
- De 262 000 CHF à 364 000 CHF par an
- 100%
- Java
- Esprit d'analyse
- C++
il y a 14 jours
Field Services Engineer
Cognizant —Zürich, ZH
- 100%
- Travail hybride
- Gestion du personnel
- Service client
- Maintenance
Senior Software Engineer, Infrastructure, Core
Google —Zürich, ZH
- De 174 000 CHF à 252 000 CHF par an
- 100%
- Informatique
- Niveau Doctorat
- Niveau Master
il y a 10 jours
Full-Stack Software Engineer (IT-CA-IR-2026-198-GRAE)
CERN —Genève, GE
- De 5 266 CHF à 5 793 CHF par mois
- 100%
- Travail hybride
- Niveau Doctorat
- Anglais
- Recherche
- Formation sur place
Postuler rapidement
il y a 8 jours
Senior Site Reliability Engineer - Hybrid Cloud
Genius Sports Group —Lausanne, VD
- De 140 000 CHF à 155 000 CHF par an
- De garde
- Télétravail
- Gestion du personnel
- AWS
- Scripting
Data Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Zürich, ZH
- Informatique
- Anglais
- Java
Network Engineer - Cloud Operations
Siemens Healthineers —Home Office
- 100%
- Télétravail
- Gestion du personnel
- Service client
- Réseaux informatiques
Postuler rapidement
il y a 12 jours
Member of Technical Staff - Embedded Systems Engineer
Domera Labs —Zürich, ZH
- De 85 000 CHF à 100 000 CHF par an
- 100%
- C++
- Réseaux informatiques
- Linux
Postuler rapidement
3 h

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

En vous connectant à votre compte, vous acceptez les Conditions d'utilisation de SimplyHired et consentez à notre Politique relative aux cookies et Politique de confidentialité.

Afficher des offres d'emploi dans d'autres lieux

computing systems engineer jobs near

Senior Software Engineer, Zürich, ZH : emplois

Field Service Engineer, Zürich, ZH : emplois

Devops Engineer, Zürich, ZH : emplois

Support Engineer, Genf, GE : emplois

Research Engineer, Zürich, ZH : emplois

Software Engineer, Zürich, ZH : emplois

Staff Software Engineer, Zürich, ZH : emplois

System Engineer, Lugano, TI : emplois

Machine Learning Engineer, Lausanne, VD : emplois

Data Engineer, Zürich, ZH : emplois

Senior Software Engineer, Zug, ZG : emplois

Senior Software Engineer, Zofingen, AG : emplois

Senior Software Engineer, Basel, BS : emplois

Ai Software Engineer, Zurigo, ZH : emplois

Systems Engineer, Basel, BL : emplois

Embedded Systems Architect, Lausanne, VD : emplois

Network Engineer, Zürich, ZH : emplois

Field Service Engineer, Genf, GE : emplois

Ai Engineer, Lausanne, VD : emplois

Field Service Engineer, Visp, VS : emplois

Software Engineer, Agent Systems

Normal Computing Corporation
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100%
De 200 000 CHF à 400 000 CHF par an

Avantages

Logement

Qualifications

Niveau Master
PostgreSQL
Redis
Technologies de l'information
Debugging

Description complète du poste

Normal Computing | Build with Us

Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, San Francisco, London, Copenhagen, and Pangyo.

The Role

As a Software Engineer at Normal, you will build the backend runtimes and distributed systems behind our AI products. You'll design orchestration services, execution environments, internal APIs, persistence layers, and observability systems that allow AI agents to perform long-running work reliably.

These systems coordinate workloads across distributed environments, execute code and tools securely, preserve state across long-running sessions, and recover cleanly from failures. Your work will turn ambitious AI prototypes into dependable products used in real customer workflows.

The role spans backend, AI, and platform engineering. Its focus is the application and runtime layer but not general-purpose cloud infrastructure or company-wide developer operations. You'll work closely with product, AI, research, and platform engineers to define the interfaces between AI capabilities, execution environments, and production services.

On any given day, you might design the execution model for a new AI capability, build an orchestration service for autonomous workflows, improve the scheduling and isolation of distributed workloads, or create an API that makes a complex runtime capability easy for other engineers to use.

What You Will Own

Runtime and Orchestration: Build the services that manage agent execution, session lifecycles, long-running workflows, and distributed workloads.
Backend Systems and APIs: Design reliable services, data models, and internal APIs used by product engineers, AI engineers, and execution systems.
State and Failure Handling: Develop clear models for persistence, retries, queues, leases, cancellation, recovery, and other distributed-systems concerns.
Execution Environments: Build software that schedules and manages containerized workloads in Kubernetes-backed environments, including lifecycle, isolation, autoscaling, and resource management.
Reliability and Observability: Make evolving systems easier to operate through thoughtful metrics, tracing, debugging tools, and well-defined failure modes.
Developer Experience: Create abstractions and tools that allow other engineers to extend the platform without needing to understand every underlying implementation detail.
Prototype-to-Production Engineering: Turn promising prototypes into durable systems by clarifying boundaries, hardening critical paths, and introducing operational patterns that scale.
Technical Design: Facilitate design discussions around runtime architecture, API boundaries, state management, execution models, and operational tradeoffs.

What Makes You a Great Fit

4+ years of software engineering experience in backend systems, distributed systems, developer platforms, production infrastructure, or a related area.
Strong backend engineering fundamentals, including API design, data modeling, concurrency, debugging, and testing.
Experience designing and operating production services where reliability, observability, and maintainability matter.
Experience reasoning about distributed state and failure modes, including retries, queues, leases, scheduling, idempotency, and long-running workflows.
Practical experience with containers and Kubernetes-backed systems, including workload lifecycle, networking, resource limits, and production debugging.
Experience with production data systems such as Postgres, Redis or Valkey, and object storage.
Experience building orchestration systems, workflow engines, job schedulers, sandboxes, developer platforms, or distributed execution systems.
A track record of designing APIs and abstractions that other engineers can use confidently.
Pragmatic judgment in fast-moving environments: you know when to improve an abstraction, simplify it, or ship the straightforward version.
A strong sense of ownership for how your software behaves in production and how effectively others can use it.

Bonus Points

Experience building systems for AI agents, model orchestration, code execution, or other LLM-powered products.
Deep Kubernetes knowledge, such as controllers, scheduling, networking, storage, autoscaling, or resource isolation.
Experience with secure or sandboxed code execution.
Background in reliability engineering, infrastructure software, or developer platforms at meaningful scale.
Experience working in high-growth environments where systems and ownership boundaries are still taking shape.

Equal Employment Opportunity Statement

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.

Accessibility Accommodations

Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at [email protected].

Privacy Notice

By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

Compensation Range: $200K - $400K

Soumettre votre candidature

Affinez votre recherche

computing systems engineer emplois

Software Engineer, Agent Systems

DevOps Engineer

Systems Engineer – Platform Automation

Software/Embedded Systems Engineer for Quantum Experimental Control and Automation

Linux Systems Administrator (80-100%)

Telecom and Network Infrastructure Technician (IT-FCS-DO-2026-173-LD)

Database Infrastructure Engineer (IT-DA-DB-2026-174-LD)

Machine Learning Training Infrastructure Engineer

Drop-In Onsite Support Engineer

Computing Engineer: S3 Storage & Backup (IT-SD-TAB-2026-209-GRAE)

Research Software Engineer for Computational Mass Spectrometry

Staff Software Engineer, Google Cloud, Applied AI, Automotive AI Agent

Senior Staff Software Engineer, Full Stack

Field Services Engineer

Senior Software Engineer, Infrastructure, Core

Full-Stack Software Engineer (IT-CA-IR-2026-198-GRAE)

Senior Site Reliability Engineer - Hybrid Cloud

Data Engineer - QuantumBlack, AI by McKinsey

Network Engineer - Cloud Operations

Member of Technical Staff - Embedded Systems Engineer

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

Related Searches

Afficher des offres d'emploi dans d'autres lieux

Normal Computing | Build with Us

The Role

What You Will Own

What Makes You a Great Fit

Bonus Points

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact