8 beste Stellen als machine learning python in zürich, zh – aktuell auf Personalsuche

Lead Kernel Engineer/Architect
EPAM Systems, Inc. —Zürich, ZH
- C++
- Bachelor
- Ohne Hochschulabschluss
- Eltern-/Erziehungsurlaub
- Pensionskasse
DevOps Engineer /Deployment Manager
b-rayZ AG —Zürich, ZH
- Teilzeit
- Management-Erfahrung
- Englisch
- AWS
Data Architect mit einem Flair für AI
ti&m AG —Zürich, ZH
- Englisch
- Java
- Master
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Wissenschaftliche/-r Mitarbeiter/-in für Fernerkundung und Machine Learning zur Modellierung trockenheitsbedingter Waldschäden
Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft WSL —Birmensdorf, ZH
- Teilzeit
- Doktorat
- Englisch
- Python
2 Std.
Internship in Engineering - Automation, Robotics, and Related Fields (60 – 100%, 9-12 Months)
Treeless AG —Schlieren, ZH
- CAD
- Englisch
- SQL
Direkt bewerben
4 Std.
Generalist Engineering Intern - Drones & Applied AI
Wingtra AG —Zürich, ZH
- Englisch
- C++
- Erfahrung in der IT
3 Std.
Engineer III, AI/ML, Online Calibration, XR
Google —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
3 Std.

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Lead Kernel Engineer/Architect

EPAM Systems, Inc. -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Leistungen

Eltern-/Erziehungsurlaub
Pensionskasse

Qualifikationen

C++
Bachelor
Hardware
Softwareentwicklung
Python

Vollständige Stellenbeschreibung

We're looking for a Lead Kernel Engineer/Architect to join our team in Switzerland in a hybrid working mode.

Are you passionate about pushing advanced hardware accelerators to their limits? Join us in shaping the future of AI performance and scalability.

As a Lead Kernel Engineer/Architect, you will drive the optimization of critical machine learning operations for large-scale training and inference, working with cutting-edge hardware like TPUs and GPUs, advanced ML models and performance toolchains. Your work will enable faster AI research and production deployments on cloud platforms and within open-source ecosystems.

In this role, you will collaborate with researchers, compiler engineers and framework developers to deliver optimized, high-performance solutions that set the standard for modern AI computation.

Responsibilities

Design and optimize high-performance kernels for TPU and GPU architectures using low-level programming frameworks such as Pallas, Triton or Mosaic
Build and maintain performance infrastructure, including benchmarking suites, autotuning systems, regression testing frameworks and tooling
Collaborate with ML framework developers (e.g., JAX, PyTorch) and compiler teams (XLA/MLIR) to integrate custom kernels and reduce performance bottlenecks
Track advancements in accelerator hardware, compiler technology and AI model design to identify opportunities for kernel-level optimization
Develop clear documentation, APIs and supporting OSS components that improve developer usability and adoption
Analyze and resolve complex performance issues impacting large-scale distributed training and inference systems

Requirements

Bachelor’s degree or equivalent practical experience
12+ years of industry experience in software engineering or systems programming
5+ years of experience in software development using C++ or Python
3+ years of experience in testing, maintaining or launching software products and at least 1 year in software design or architecture
Hands-on experience in performance optimization at the kernel level for accelerators or high-performance systems

Nice to have

Proficiency in low-level accelerator programming (CUDA, Triton, Pallas)
Familiarity with ML frameworks such as JAX or PyTorch and optimization techniques for attention layers, Mixture of Experts (MoE) and precision tuning
Strong understanding of modern hardware accelerators, including pipelining, data movement and heterogeneous compute
Knowledge of compiler principles and intermediate representations (e.g., MLIR, OpenXLA)
Experience building OSS developer infrastructure, APIs and performance-critical libraries
Excellent problem-solving skills and ability to collaborate in cross-functional engineering environments

We offer

5 weeks of vacation
EPAM Employee Stock Purchase Plan (ESPP)
Enhanced parental leave
Extended pension plan
Daily sickness allowance insurance
Employee assistance program
Global business travel medical and accident insurance
Learning and development opportunities including in-house training and coaching, professional certifications, and courses

Please note that any offers will be subject to appropriate background checks
We do not accept CVs from recruiting or staffing agencies
For this position, we are able to consider applications from the following:

- Swiss nationals
- EU/EFTA nationals
- Third-country nationals based in Switzerland with an appropriate work permit
- Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits

Jetzt bewerben

Erweiterte Suche

machine learning python Jobs in zürich, zh

Lead Kernel Engineer/Architect

DevOps Engineer /Deployment Manager

Data Architect mit einem Flair für AI

Mid / Senior SLAM Engineer

Wissenschaftliche/-r Mitarbeiter/-in für Fernerkundung und Machine Learning zur Modellierung trockenheitsbedingter Waldschäden

Internship in Engineering - Automation, Robotics, and Related Fields (60 – 100%, 9-12 Months)

Generalist Engineering Intern - Drones & Applied AI

Engineer III, AI/ML, Online Calibration, XR

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