20 beste Stellen als python in prilly vd – aktuell auf Personalsuche

Software Engineer, Lab Automation
Adaptyv —Lausanne, VD
- 100%
- Laborerfahrung
- Python
ML Application Engineer (Japanese or Korean-speaking)
Neural Concept —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Doktorat
- CAD
- Englisch
Computer Vision Engineer (VIO)
Harmattan AI —Lausanne, VD
- 100%
- Doktorat
- Master
- C++
Layout and Automation Design Engineer
Ligentec SA —Lausanne, VD
- Doktorat
- Englisch
- Master
Direkt bewerben
12 Tage
Senior Artificial Intelligence (AI)/Machine Learning (ML) Engineer, Video (R&D)
Logitech —Lausanne, VD
- 100%
- Homeoffice
- Doktorat
- Master
- AWS
- Homeoffice-Möglichkeit
Aerodynamics Methodology and Software Engineer
Harmattan AI —Lausanne, VD
- 100%
- Doktorat
- Master
- Datenbanken
Spécialiste système BI
emploi.epfl.ch —Lausanne, VD
- Microsoft Excel
- Englisch
- SQL
- Weiterbildungen
Propulsion Engineer
Harmattan AI —Lausanne, VD
- 100%
- Datenanalyse
- Master
- Python
Palantir Foundry Engineer (Zurich or Lausanne, Switzerland)
Unit8 SA —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Python
- Erfolgsbeteiligung
- Eltern-/Erziehungsurlaub
Direkt bewerben
Senior Software Engineer - Connectivity & Data Systems
Distalmotion SA —Epalinges, VD
- 100%
- Homeoffice
- Master
- Maturität
- SQL
Direkt bewerben
Senior Quantitative Engineer - Quantitative Systems Engineer
Alpiq Holding AG —Lausanne, VD
- 100%
- Doktorat
- Systemdesign
- Englisch
9 Tage
Software Engineer, Backend
Adaptyv —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Erfahrung in der IT
- Python
Senior AI Machine Learning Engineer
Nexthink —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Master
Direkt bewerben
Senior Quant Analyst
Alpiq Holding AG —Lausanne, VD
- 100%
- Oracle
- SQL
- Erfahrung im Bauwesen
Senior Azure DevOps Engineer
ELCA Informatique SA —Pully, VD
- 100%
- Management-Erfahrung
- Windows
- Analysefähigkeit
2 PhD Positions in Earthquake Engineering / Structural Engineering (ENAC/EESD)
emploi.epfl.ch —Lausanne, VD
- Doktorat
- Englisch
- Forschungserfahrung
4 Tage
Electro-Optical Test Engineer (ID:2613)
Ligentec SA —Lausanne, VD
- Homeoffice
- Doktorat
- Englisch
- Master
Direkt bewerben
Consumer Electronics Solution Owner
Neural Concept —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Mechanikkenntnisse
- Python
Tech Lead Vertical Solutions
Neural Concept —Lausanne, VD
- 100%
- Hybrides Arbeiten
- CAD
- Python
Principal/Staff Software Engineer
Nexthink —Lausanne, VD
- 100%
- Management-Erfahrung
- Java
- Master
Direkt bewerben

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Software Engineer, Lab Automation

Adaptyv
Lausanne, VD

Jetzt bewerben

Details zur Stelle

100%

Qualifikationen

TCP
Laborerfahrung
PostgreSQL
Robotik
Python

Vollständige Stellenbeschreibung

Adaptyv is building an automated lab thats let AI agents run biology experiments.

We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world.

We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today.

Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development.

We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation.

About the Role

You'll build work-cell orchestration, instrument drivers, protocol scheduling, error-recovery logic, and monitoring. Physical systems fail in ways pure software doesn't — a plate gets stuck, a liquid handler skips a well, a temperature controller drifts. Your job is to make the system handle all of it gracefully. This is a broad, hands-on role for a strong engineer who wants their code to drive real machines and see it run the same day.

What You'll Do

Build orchestration software that coordinates liquid handlers, plate readers, incubators, and robot arms — handling timing dependencies, state, and error recovery.
Reverse-engineer and develop instrument drivers and APIs. Each instrument speaks a different protocol (serial, USB, TCP/IP); you work out how it talks and build a clean abstraction over it.
Model and execute complex multi-step protocols reliably — a single run can span dozens of steps across multiple instruments.
Build error-recovery logic so that when something fails mid-run, the system retries, skips, alerts, or pauses depending on the failure mode.
Create monitoring and observability for work-cell health: instrument status, run progress, error rates.
Debug across the software–hardware boundary — figuring out whether bad data is a comms, firmware, calibration, or code problem.
Work closely with lab automation engineers, the rest of the software team, and the scientists running production.

Stack

TypeScript and Python, Postgres (Supabase), Modal for compute. We control instruments with open-source Python tooling like PyLabRobot and PyHamilton wherever we can, rather than proprietary vendor GUIs.

What We're Looking For

Strong software engineering skills. You write production code in Python and/or TypeScript — well-structured and maintainable, not just prototypes.
Comfortable at the hardware-software boundary. You've built software that drives physical devices, or you're excited to. You can read a protocol spec, debug a flaky connection, and reason about timing.
Lab automation experience is a strong plus. Familiarity with PyHamilton, PyLabRobot, Opentrons, or similar tooling helps — as does a background in robotics, industrial automation, IoT, or embedded systems.
Maker and hacker attitude. You like figuring out how closed systems work and building the thing that makes them work better. Bonus if you're comfortable with electronics, microcontrollers, or a 3D printer when an integration needs a physical fix.
AI-native builder. It's 2026 — you build with coding agents like Claude Code as a default, and you have sharp judgment about what they produce.
Self-starter and independent. You define what needs building from how the lab actually works, not just what's in the ticket.
Reliability-minded. The lab runs 24/7; you design systems where one instrument failing doesn't cascade through the whole work cell.

Biology background not required — but you should be excited that the code runs real experiments.

Details

Location: Lausanne, Switzerland (on-site — you need hands-on access to physical instruments).
Type: Full time
Start date: ASAP

Application deadline

We are reviewing applicants on a rolling basis.

Jetzt bewerben

Erweiterte Suche

python Jobs in prilly vd

Software Engineer, Lab Automation

ML Application Engineer (Japanese or Korean-speaking)

Computer Vision Engineer (VIO)

Layout and Automation Design Engineer

Senior Artificial Intelligence (AI)/Machine Learning (ML) Engineer, Video (R&D)

Aerodynamics Methodology and Software Engineer

Spécialiste système BI

Propulsion Engineer

Palantir Foundry Engineer (Zurich or Lausanne, Switzerland)

Senior Software Engineer - Connectivity & Data Systems

Senior Quantitative Engineer - Quantitative Systems Engineer

Software Engineer, Backend

Senior AI Machine Learning Engineer

Senior Quant Analyst

Senior Azure DevOps Engineer

2 PhD Positions in Earthquake Engineering / Structural Engineering (ENAC/EESD)

Electro-Optical Test Engineer (ID:2613)

Consumer Electronics Solution Owner

Tech Lead Vertical Solutions

Principal/Staff Software Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als python in prilly vd erhalten

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