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
Senior Quantum Systems Engineer - Quantum Computing
NVIDIA —Home Office
- 100%
- Télétravail
- Niveau Licence
- Réseaux informatiques
Linux Systems Administrator (80-100%)
Universität Basel —Bâle, BS
- Anglais
- Recherche
- Scripting
- Formation continue
il y a 13 jours
Research Software Engineer for Computational Mass Spectrometry
ETH Zürich —Zürich, ZH
- Temps partiel
- Gestion du personnel
- Niveau Doctorat
- Anglais
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
Junior Linux System Engineer
Dalco AG —Volketswil, ZH
- Anglais
- Linux
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 5 jours
Data Center Technician (DCO), Data Center Operations
Amazon Data Services Switzerland GmbH —Zürich, ZH
- 100%
- Bar
- Microsoft Excel
- AWS
Fullstack Software Engineer (Zürich, 100%)
Loki Robotics —Zürich, ZH
- 100%
- Télétravail
- Bases de données
- C++
- Réseaux informatiques
Postuler rapidement
Software/Embedded Systems Engineer for Quantum Experimental Control and Automation
ETH Zürich —Zürich, ZH
- Temps partiel
- Anglais
- Recherche
- Niveau Master
Infrastructure Verification Engineer
TechBiz Global GmbH —Basel, BL
- 100%
- Télétravail
- Esprit d'analyse
- Niveau Licence
- Scripting
Postuler rapidement
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
Hardware Engineer, Physical Design
Normal Computing Corporation —Zürich, ZH
- De 200 000 CHF à 400 000 CHF par an
- 100%
- Travail hybride
- Python
Data Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Zürich, ZH
- Informatique
- Anglais
- Java
Software Engineer (SY-BI-SW-2026-175-LD)
CERN —Genève, GE
- À partir de 9 236 CHF par mois
- 100%
- Travail hybride
- Informatique
- Niveau Doctorat
- Anglais
Postuler rapidement
AI Research Engineer
Normal Computing Corporation —Zürich, ZH
- De 200 000 CHF à 400 000 CHF par an
- 100%
- Travail hybride
- Niveau Doctorat
- Recherche
- Niveau Master
Data Storage R&D Engineer (IT-SD-TAB-2026-130-GRAP)
CERN —Genève, GE
- De 6 372 CHF à 7 004 CHF par mois
- 100%
- Travail hybride
- Informatique
- Niveau Doctorat
- Anglais
- Formation sur place
Postuler rapidement
Software Engineer II, Sustainability, Full Stack
Google —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Analyse de données
13 h
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
il y a 10 jours

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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

Senior Quantum Systems Engineer - Quantum Computing

Linux Systems Administrator (80-100%)

Research Software Engineer for Computational Mass Spectrometry

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

Junior Linux System Engineer

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

Data Center Technician (DCO), Data Center Operations

Fullstack Software Engineer (Zürich, 100%)

Software/Embedded Systems Engineer for Quantum Experimental Control and Automation

Infrastructure Verification Engineer

DevOps Engineer

Systems Engineer – Platform Automation

Hardware Engineer, Physical Design

Data Engineer - QuantumBlack, AI by McKinsey

Software Engineer (SY-BI-SW-2026-175-LD)

AI Research Engineer

Data Storage R&D Engineer (IT-SD-TAB-2026-130-GRAP)

Software Engineer II, Sustainability, Full Stack

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

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

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Normal Computing | Build with Us

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