**OR-X**

# **ML Ops / Data Infrastructure Engineer for Surgical AI 80 - 100 %**

Start of employment 01.02.2026 (Flexible), temporary

The Operating Room-X (OR-X) is a national unique research infrastructure and surgical translation center designed to advance surgical innovation. It combines a fully equipped, realistic operating room with an advanced digital ecosystem that supports ex-vivo surgical experiments, multimodal data acquisition, robotics, AR/VR systems, and high-performance AI computing.

A core element of OR-X is its newly established data infrastructure, which enables the synchronized collection, structuring, and streaming of multimodal surgical data through custom hardware interfaces, integrated middleware, and a high-performance computing (HPC) backbone. This infrastructure is already operational and forms the foundation for scalable development and deployment of surgical AI applications.

In parallel, the hospital together with the OR-X is building a new platform for robotic surgery and intelligent assistance, bringing together robotics, simulation, AI, and data science. Within this ecosystem, we are seeking a ML Ops / Data Infrastructure Engineer for shaping the underlying data, hardware, and computing infrastructure that enables machine learning, robotics, and real-time surgical AI across OR-X. The role focuses on bridging multimodal data pipelines, HPC systems, and real surgical workflows to enable reliable, real-time AI functionality in translational and experimental settings.

## **Your responsibilities**

**MLOps & Model Integration**

- Deploy, monitor, and maintain machine learning models for surgical applications on HPC and edge devices within OR-X and ROSI research infrastructure

- Develop CI/CD pipelines for model lifecycle management, automated testing, and continuous deployment

- Leveraging NVIDIA technology for accelerating deployment of ML models

- Deployment of simulation environments


**Data Engineering & Infrastructure**

- Integrate multimodal data streams (video, kinematics, tracking, imaging, sensor data) into the central AI infrastructure

- Develop APIs, data ingestion pipelines, and real-time streaming frameworks

- Structure and pre-process multimodal surgical datasets for model training and downstream analytics

- Develop a distribution strategy that enables external researchers to access the data


**AI Deployment in Surgical Workflows**

- Work closely with AI researchers to operationalize models for surgical scene understanding, workflow prediction, skill assessment, and mixed reality

- Develop monitoring tools to ensure robustness, reliability, and latency compliance for real-time surgical applications

- Collaborate with robotics engineers to interface AI pipelines with devices accessible through ROS2 for control and visualization


**System Testing & Validation**

- Support verification and validation experiments in realistic ex-vivo settings

- Implement performance monitoring, logging dashboards, and evaluation frameworks for deployed AI models

- Contribute to guidelines and best practices for safe, reliable clinical translation of AI-enabled systems

## **Your profile**

- Degree from University of Applied Sciences or higher in Computer Science, Electrical Engineering, Robotics, or a related field

- Strong experience in MLOps, including Docker, Kubernetes, CI/CD pipelines, model serving and workflow orchestration tools

- Strong programming skills in C++, Python, and related languages

- Experience with data engineering, data pipelines, and multimodal dataset handling

- Proficiency in interfacing with AI infrastructures, preferably with experience in NVIDIA AI technologies. Experience with Holoscan is an asset

- Familiarity with Nvidia hardware (DGX, Spark, Jetson)

- Experience with ROS2 and real-time systems

- Comfortable in Linux/Ubuntu environments, Git/GitHub workflows, and containerization

- Motivation to work in a translational, interdisciplinary environment connecting AI, robotics, and clinical research

- English is the main working language; German is an added advantage

## **Information on your application**

What We Offer

- Active participation in a rapidly growing and internationally recognized Surgical Data Science ecosystem

- The opportunity to shape the next generation of AI-driven surgical technologies, integrating AR, robotics, and intelligent assistance systems

- A highly innovative environment at the intersection of engineering, AI research, and clinical practice at the University Hospital Balgrist

- Collaboration with leading academic and industrial partners (ETH AI Center, NVIDIA, Microsoft, ZHAW, and others)

- A supportive, motivated, and interdisciplinary team that values creativity, collaboration, and impact


Application

Please send your application to Dr. Fabio Carrillo (fabio.carrillo@balgrist.ch) with the following documents:

- Motivation letter (max. 1 page)

- Current CV

- Relevant project portfolio or GitHub (optional)

## **What we offer**

**Work-Life Balance**

- Flexible working models (such as part-time positions, mobile working, job-sharing)
- Childcare at the kihz foundation of UZH and ETH

**Learning and Development**

- Wide range of continuing education courses of UZH and the Canton of Zurich
- Language Center run jointly with ETH Zurich

**Food**

- Food and drinks at reduced prices in the UZH cafeterias
- Lunch-Check-card with UZH contribution

**Healthcare**

- Special conditions on the Academic Sports Association ASVZ
- Free seasonal flu vaccinations
- Rest and relaxation at the quiet room in the university tower

**Discounts**

- Private traffic: Carsharing, rent a vehicle, parking space
- Digitalization: Hardware, software, mobile phone subscriptions
- Special conditions on hotel reservations

**Conditions of Employment**

- Policies of the UZH
- Most UZH staff are employed according to public law

**International Services**

- Support for people from outside Switzerland

**Campuses**

- Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
- Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg

## **Location**

### **OR-X**

Forchstrasse 340, 8008 Zürich, Switzerland

## **Further information**

### **Questions about the job**

**Dr. Fabio Carrillo**

Head of OR-X Research Unit

+41 44 510 32 64

### **Questions about the application procedure**

**Joelle Kunz**

Assistant

+41 44 510 73 66

## **Working at UZH**

The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer!