15 beste Stellen als platform engineer in kanton waadt – aktuell auf Personalsuche

Lab Automation Engineer
Adaptyv —Lausanne, VD
- 100%
- Laborerfahrung
- Erfahrung in der IT
- Python
6 Std.
QA Validation & Qualification Engineer
AliveDx —Eysins, VD
- 100%
- Englisch
- Bachelor
8 Tage
Electronics Engineering Intern
ONWARD Medical —Lausanne, VD
- Englisch
- Praktikum
Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision (iOS/Android)
Sicpa —Prilly, VD
- Management-Erfahrung
- Englisch
- Java
Senior Data Engineer - Azure, AWS, Databricks
ELCA Informatique SA —Pully, VD
- 100%
- Englisch
- SQL
- AWS
Head of QC & Analytics
Adaptyv —Lausanne, VD
- 100%
- Doktorat
- Laborerfahrung
- Master
Head Trader eFX Spot – Associate-Director
Swissquote Bank —Gland, VD
- Teilzeit
- Erfahrung mit Netzwerken
- Erfahrung in der IT
- Führungserfahrung
Direkt bewerben
Internship: Autonomous Downstream Purification for Monoclonal Antibodies (m/fd)
Merck KGaA —Corsier-sur-Vevey, VD
- Englisch
- Praktikum
- Python
- Aufstiegsmöglichkeiten
Tech Lead Vertical Solutions
Neural Concept —Lausanne, VD
- 100%
- CAD
- Python
Senior Cloud Data Engineer
Smile Group —Lausanne, VD
- Hybrides Arbeiten
- Englisch
- SQL
- Bachelor
Direkt bewerben
MD-PhD Position in Cardiovascular Prevention (Doctoral Assistant)
Centre hospitalier universitaire vaudois —Lausanne, VD
- Doktorat
- Englisch
- Forschungserfahrung
(Senior) NetworkEngineer (all genders)
adesso Schweiz —Lausanne, VD
- Teilzeit
- Englisch
- Erfahrung in der IT
- Python
Named Account Executive, Retail & CPG
Salesforce —Lausanne, VD
- 100%
- Salesforce
- Englisch
- Verhandlungsgeschick
Internship: Optimization of Cell Line Development (m/f/d)
Merck Group —Corsier-sur-Vevey, VD
- 100%
- Englisch
- Organisationstalent
- Kommunikationsfähigkeit
- Aufstiegsmöglichkeiten
Principal/Staff Software Engineer
Nexthink —Lausanne, VD
- 100%
- Management-Erfahrung
- Java
- Master
Direkt bewerben

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Lab Automation Engineer

Adaptyv
Lausanne, VD

Jetzt bewerben

Details zur Stelle

100%
vor 6 Stunden

Qualifikationen

Laborerfahrung
IT-Infrastruktur
Erfahrung in der IT
Python
Debugging

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

We build our lab automation ourselves. Instead of buying turnkey systems and running them through a vendor's GUI, we reverse-engineer instruments, control them with open-source Python tooling like PyLabRobot and PyHamilton, and build the software and hardware to turn a pile of instruments into work cells that run biology around the clock.

We're looking for a Lab Automation Engineer to help design, build, and run these systems. This is a broad role: on any given week you might be writing a driver for a new instrument, getting a liquid handler and a robot arm to hand off cleanly, or debugging why an overnight run stalled. We care far more about range, ability, and drive than years on any one platform.

What You'll Do

Control lab instruments — liquid handlers, robot arms, plate readers, incubators, analytical devices — programmatically in Python, ideally with PyLabRobot / PyHamilton, rather than locking workflows into proprietary software.
Build and integrate work cells: get multiple instruments working together as one orchestrated unit that runs unattended.
Bring new instruments online by reverse-engineering their control protocols and building drivers that expose them to the rest of the stack.
Write the software glue — drivers, integrations, small services — that connects hardware to our platform (mostly Python, with some TypeScript).
Partner with biologists to turn new assays into reliable automated workflows, then keep them running: diagnosing and fixing the mechanical, electrical, and software failures that come with 24/7 production.
Push throughput and reliability up continuously — better error recovery, smarter scheduling, sturdier hardware.

What We're Looking For

Maker and hacker attitude. You like taking systems apart, figuring out how they work, and building the thing that makes them work better. You'd rather script an instrument than click through it.
Strong software engineering skills. You write real Python and can structure code others can maintain — drivers, integrations, services — not just throwaway scripts. You'll pick up TypeScript where needed.
Lab automation experience. Hands-on with PyHamilton, PyLabRobot, Opentrons, or similar tooling is a strong plus. Direct experience automating instruments and workflows matters more than the specific platform.
Self-starter and independent. You see what needs building and build it. You don't wait for a spec, and you don't need a vendor training course to get going.
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.
Hardware comfort is a plus. Electronics, microcontrollers, 3D printing, CAD, or fabrication experience all help, but they're not required if your software and automation skills are strong.
Debugging instinct. When something fails mid-run, you reason across software, firmware, electronics, and mechanics to find the cause and fix it.

Biology background not required — but you should be excited that the robots run real experiments.

Details

Location: Lausanne, Switzerland (on-site — you're building physical systems)
Type: Full time
Start date: ASAP

We review applications on a rolling basis.

Application deadline

We are reviewing applicants on a rolling basis.

Jetzt bewerben

Erweiterte Suche

platform engineer Jobs in kanton waadt

Lab Automation Engineer

QA Validation & Qualification Engineer

Electronics Engineering Intern

Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision (iOS/Android)

Senior Data Engineer - Azure, AWS, Databricks

Head of QC & Analytics

Head Trader eFX Spot – Associate-Director

Internship: Autonomous Downstream Purification for Monoclonal Antibodies (m/fd)

Tech Lead Vertical Solutions

Senior Cloud Data Engineer

MD-PhD Position in Cardiovascular Prevention (Doctoral Assistant)

(Senior) NetworkEngineer (all genders)

Named Account Executive, Retail & CPG

Internship: Optimization of Cell Line Development (m/f/d)

Principal/Staff Software Engineer

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