Zurich, Zurich, Switzerland · On-site
We are hiring a AI Infrastructure Engineer ⏰ Start date: ASAP 📍Zürich, Switzerland (on-site, remote not possible) 🦾 Full-time (100%) Your role As an AI infrastructure SWE you will build the systems that underpin our ro…
Skills: Robot Manipulation, Imitation Learning, Data Pipelines, Python, C++
Zurich, Zurich, Switzerland · On-site
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St. Gallen, St. Gallen, Switzerland · On-site
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Munich, Bavaria, Germany · On-site
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Zurich, Zurich, Switzerland · On-site
Line of Service Advisory Industry/Sector Not Applicable Specialism Actuarial Services Management Level Manager Job Description & Summary Du wirst Teil eines wachsenden aktuariellen Beratungsteams, das führende Schweizer …
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Zurich, Zurich, Switzerland · On-site
$149k–$204k/yr
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice an…
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Zurich, Zurich, Switzerland · On-site
$159k–$219k/yr
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Skills: Dashboard Development, Reporting Governance, Data Modeling, Real World Evidence, Project Management
Zurich, Zurich, Switzerland · On-site
Responsibilities Lead end-to-end laser chip design activities, owning device architecture, epitaxial structure definition, grating design, and performance optimization from concept to release Drive innovation in advanced…
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Opfikon, Zurich, Switzerland · Hybrid
$192k–$302k/yr
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Skills: Medical Affairs, Clinical Development, Hematology, Medical Strategy, Launch Planning
AbbottZurich, Zurich, Switzerland · On-site
JOB DESCRIPTION: Senior NPI Engineer – New Product Introduction Abbott is seeking a Senior New Product Introduction (NPI) Engineer to support the development and manufacturing scale‑up of the next‑generation CentriMag Ci…
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Zurich, Zurich, Switzerland · On-site
Huawei Research Centre – Competition Talent Program Join a world-leading innovation hub and accelerate your future in technology. 📍 Location: Zurich and Lausanne, Switzerland 🌍 Program designed for outstanding global t…
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Zurich, Zurich, Switzerland · Hybrid
Job Description This position drives scientific planning, strategy, and execution of Phase 1-4 clinical studies. Under the direction of the Program Lead, you will collaborate with global cross functional team members in…
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SompoZurich, Zurich, Switzerland · On-site
Job Description Are you looking for your next opportunity? Sompo has a unique opportunity for a Senior Catastrophe Modeling Analyst in our Europe Property Catastrophe Modeling team. Our team in Zurich is an international…
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Zurich, Zurich, Switzerland · On-site
NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new s…
Skills: C, C++, MLIR, LLVM, Compiler Engineering
Zurich, Zurich, Switzerland · On-site
NextSilicon is reimagining high-performance computing (HPC & AI). Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation…
Skills: C, C++, MLIR, LLVM, Compiler Engineering
Zurich, Zurich, Switzerland · Hybrid
#WeAreIn for jobs that impact everyone's life. What if your ideas could change the way the world connects, powers up, or thinks? As a Senior Concept Engineer for UWB in our Research & Development team, you'll have the op…
Skills: Algorithm Development, UWB Communication Systems, Digital Signal Processing, Matlab, Python
Zurich, Zurich, Switzerland · Hybrid
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AbbottZurich, Zurich, Switzerland · On-site
JOB DESCRIPTION: Senior Quality Engineer Zurich, Switzerland | Thoratec Switzerland GmbH (Abbott) Build life‑saving technology — in a team where your growth matters. At Thoratec Switzerland GmbH, part of Abbott’s Medical…
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Zurich, Zurich, Switzerland · On-site
Junior Sensor Validation & Test Engineer – Force/Torque Sensors 📍 Location: Oerlikon, Zürich, Switzerland 🕓 Employment type: Full-time, permanent position 🚀 Start date: Immediately About Bota Systems Bota Systems is a…
Skills: Sensor Validation, Test Engineering, Python, Linear Algebra, Data Analysis
Zurich, Zurich, Switzerland · Hybrid
Job Description This position drives scientific planning, strategy, and execution of Phase 1-4 clinical studies. Under the direction of the Program Lead, you will collaborate with global cross functional team members in…
Skills: Clinical Operations, Clinical Protocol, Clinical Trial Management, ICH GCP Guidelines, Medical Writing
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Lead autonomy efforts by training control policies using teleop data to increase robot autonomy in cleaning tasks. Build infrastructure for data collection and labeling while shaping the company's AI strategy and team.
Requires 3+ years of experience training and deploying robot manipulation imitation learning policies from real data. Must possess strong software engineering skills in Python, C++, and various AI frameworks and cloud platforms.
⏰ Start date: ASAP
📍Zürich, Switzerland (on-site, remote not possible)
🦾 Full-time (100%)
As an AI infrastructure SWE you will build the systems that underpin our robot learning. You will work across data pipelines, internal tooling, and model deployment from day one as we build the foundations of our ML infrastructure.
Build a tiered data processing platform from raw ingestion to versioned training dataset generation
Build and operate the training infrastructure by using containerized deployments and cloud GPU provisioning
Ship models to production with cloud and edge inference and build the evaluation harness to guarantee safe deployments
Create and maintain internal data quality and inspection tooling
5+ years of experience in a professional SWE environment building production software with a significant focus on data platforms or ML infrastructure
Strong Python knowledge and comfortable in a typed language (Rust, Go, C++, ...)
Experience in data pipelines and storage: tiered architecture, workflow orchestration, backfills, and schema evolution
Cloud training experience: you have provisioned GPU instances and trained in a reproducible setup, from containerized deployments to a model registry
Hands-on ML experience: you have trained models and understand dataloader throughput, GPU utilization, and can debug slow or stalled training runs
Strong SWE foundations: You work with IaC and code reviews, propose architectural changes and refactors, and build internal tooling and automation
Edge inference deployment (Jetson or similar) with TensorRT, ONNX, quantization
Multimodal and time-series data: video pipelines, sensor logs, MCAP, time alignment across sources
Distributed training and training performance optimization
GPU cluster management and job orchestration
Rust in production
Don't worry if you don't hit every check-mark. We value people who learn fast and care about building great products. Just give it a go and apply.
We build robots saving people's time.
We build robots saving people's time.
Offices: Zürich, ZH 8045, CH
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