20 beste Stellen als software in zürich, zh – aktuell auf Personalsuche

Software Engineer, Agent Systems
Normal Computing Corporation —Zürich, ZH
- CHF 200’000 - CHF 400’000 pro Jahr
- 100%
- Hybrides Arbeiten
- Master
- Erfahrung in der IT
Full Stack Software Engineer C# / .NET / React (a) 80-100%
Helsana —Zürich, ZH
- CHF 114’300 - CHF 139’700 pro Jahr
- Homeoffice
- SQL
- Homeoffice-Möglichkeit
Solutions Architect (Hybrid; m/f/x/d;80-100%), Zurich (Zurich, CH)
Swiss Re —Zürich, ZH
- CHF 128’000 - CHF 192’000 pro Jahr
- Englisch
- SQL
- Bachelor
Online-Testperson (m/w) für Apps, Websites & KI-Anwendungen / remote / flexible Testprojekte / Nebenverdienst
TPnet Marktforschung —Zürich, ZH
- Homeoffice
Direkt bewerben
Temporal Interference Stimulation in the Brain: Modeling and Optimization (Software/Support Engineer)
IT'IS Foundation —Zürich, ZH
- Doktorat
- Englisch
- Master
Technical Support Specialist 80-100%
IKEA —Dietlikon, ZH
- Wartung
- Englisch
- Projektmanagement
- Kostenloser Parkplatz
- Eltern-/Erziehungsurlaub
8 Tage
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Julius Baer —Zürich, ZH
- 100%
- Master
- Analysefähigkeit
- Bachelor
Full Stack Software Developer 80-100% (f/m/x)
comparis Gruppe —Zürich, ZH
- Teilzeit
- Homeoffice
- Management-Erfahrung
- Englisch
- Datenbanken
Direkt bewerben
Office and Sales Assistant, Zurich (m/f/d) - Part-time/Full-time
CNT Management Consulting AG —Zürich, ZH
- Teilzeit
- Homeoffice
- Management-Erfahrung
- Englisch
- Microsoft Office
Lab Technician (contract)
Roche —Zug, ZG
- 100%
- Datenanalyse
- Englisch
- Bachelor
Member of Technical Staff - Data Research Engineer
Microsoft —Zürich, ZH
- CHF 183’800 - CHF 309’700 pro Jahr
- 100%
- Datenanalyse
- Master
- Bachelor
- Urlaub aus familiären Gründen
computer Junior Software Packaging / Junior Windows Client Engineer (m/w/d) 80-100%
Ontrex AG —Wangen-Brüttisellen, ZH
- Homeoffice
- Englisch
- Windows
- Homeoffice-Möglichkeit
Junior IT-Consultant 80 % – 100 % in Zürich
APP Unternehmensberatung AG —Zürich, ZH
- Teilzeit
- Management-Erfahrung
- Englisch
- Projektmanagement
Student Consultant – Applied / Agentic AI Entwicklung (all genders)
Detecon - —Zürich, ZH
- Teilzeit
- Englisch
- Python
- Pensionskasse
- Lohnfortzahlung bei Krankheit
Full-Stack Entwickler für digitale Softwarelösungen
ImmoSky AG —Dübendorf, ZH
- 100%
- Java
- C++
- Softwareentwicklung
Research Associate in In Vivo Genome Editing
Universität Zürich —Zürich, ZH
- 100%
- Englisch
- Master
- Bachelor
- Weiterbildungen
Junior Software Engineer
Ergon Informatik —Zürich, ZH
- 100%
- Homeoffice
- Englisch
- Java
- Master
- Pendlerbeitrag
- Homeoffice-Möglichkeit
Computer Vision Research Intern (m/f)
Sony Europe Limited, Switzerland Branch —Schlieren, ZH
- 100%
- Informatik
- Englisch
- Forschungserfahrung
21 Std.
Inside Sales (gn) Software-Lizenzen | Wallisellen
SoftwareOne —Wallisellen, ZH
- Teilzeit
- Englisch
- Pendlerbeitrag
- Empfehlungsprogramm
12 Tage
International Fully Funded PhD Positions in the Life Sciences
Universität Zürich —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
- Weiterbildungen

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Software Engineer, Agent Systems

Normal Computing Corporation
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100%
CHF 200’000 - CHF 400’000 pro Jahr

Leistungen

Unterkunft

Qualifikationen

Master
PostgreSQL
Redis
Erfahrung in der IT
Debugging

Vollständige Stellenbeschreibung

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

Jetzt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als software in zürich, zh erhalten

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