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
Systems Engineer – Platform Automation
ETH Zürich —Lugano, TI
- Temps partiel
- Gestion de projet
- Niveau Licence
- Linux
ICP Systems Engineer
emploi.epfl.ch —Lausanne, VD
- Informatique
- Gestion du personnel
- Anglais
il y a 8 jours
DevOps Engineer
ETH Zürich —Lugano, TI
- Temps partiel
- Recherche
- Développement logiciel
- Technologies de l'information
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
Linux Systems Administrator (80-100%)
Universität Basel —Bâle, BS
- Anglais
- Recherche
- Scripting
- Formation continue
Software/Embedded Systems Engineer for Quantum Experimental Control and Automation
ETH Zürich —Zürich, ZH
- Temps partiel
- Anglais
- Recherche
- Niveau Master
IT Support Engineer
Swiss IT solutions CH GmbH —Zürich, ZH
- Dépannage logiciel
- Niveau Licence
- Compétences en communication
Postuler rapidement
il y a 1 jour
Member of Technical Staff - Embedded Systems Engineer
Domera Labs —Zürich, ZH
- De 85 000 CHF à 130 000 CHF par an
- 100%
- C++
- Réseaux informatiques
- Linux
Postuler rapidement
il y a 14 jours
Drop-In Onsite Support Engineer
Zensar Technologies —Genève, GE
- Espagnol
- Microsoft Outlook
- Gestion du personnel
Infrastructure Verification Engineer
TechBiz Global GmbH —Emmen, LU
- 100%
- Télétravail
- Esprit d'analyse
- Niveau Licence
- Scripting
Postuler rapidement
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
Research Data Engineer
LIGENTEC —Ecublens, VD
- Télétravail
- Anglais
- Niveau Master
- SQL
11 h
Junior Linux System Engineer
Dalco AG —Volketswil, ZH
- Anglais
- Linux
Critical Infrastructure Electrical Engineer, Field Engineering
Amazon Data Services Switzerland GmbH —Zürich, ZH
- 100%
- Bar
- Compétences rédactionnelles
- Anglais
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
Software Engineer (Python) (OSI-SIS-TS-2026-185-LD)
CERN —Genève, GE
- À partir de 9 236 CHF par mois
- 100%
- Travail hybride
- Informatique
- Anglais
- Recherche
Postuler rapidement
il y a 3 jours
P2625 - Data Platform Engineer - Full Stack
Debiopharm —Lausanne, VD
- 100%
- Anglais
- Niveau Master
- SQL
Postuler rapidement
Data Centre Specialist,
Axiom Technologies —Aubonne, VD
- Temps partiel
- Niveau Licence
- Réseaux informatiques
- Compétences en communication
Data Centre Specialist
Axiom Technologies —Altdorf, UR
- Temps partiel
- Niveau Licence
- Réseaux informatiques
- Compétences en communication

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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

Systems Engineer – Platform Automation

ICP Systems Engineer

DevOps Engineer

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

Linux Systems Administrator (80-100%)

Software/Embedded Systems Engineer for Quantum Experimental Control and Automation

IT Support Engineer

Member of Technical Staff - Embedded Systems Engineer

Drop-In Onsite Support Engineer

Infrastructure Verification Engineer

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

Research Data Engineer

Junior Linux System Engineer

Critical Infrastructure Electrical Engineer, Field Engineering

AI Research Engineer

Software Engineer (Python) (OSI-SIS-TS-2026-185-LD)

P2625 - Data Platform Engineer - Full Stack

Data Centre Specialist,

Data Centre Specialist

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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