20 beste Stellen als machine learning in canton of zurich – aktuell auf Personalsuche

NVIDIA is at the forefront of the AI and robotics revolution, and NVIDIA’s robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. This research aims to transform research paradigms, transfer into NVIDIA’s robotics and simulation products, and create new robotics markets for the world. The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim, cuRobo, DeXtreme, DiSECT, Factory, GraspNet, ITPS, MimicGen, RVT, and SHAC. (See our publications page for a complete list.) The work has deeply impacted the research community and NVIDIA products, including Isaac Sim, Isaac Lab, and Isaac Manipulator. Furthermore, SRL collaborates closely with other research and engineering teams to advance and leverage the Cosmos and GR00T-N foundation models, as well as the Newton physics simulation engine.

We are looking for a PhD research intern to play a pivotal role in our research efforts, providing deep, hands-on technical contributions. These interns must have exceptional research and engineering skills, a strong research track record, and a team-first mindset. You will have the opportunity to achieve real impact, while working with some of the most creative, brilliant, and motivated researchers in the world. Our former interns have gone on to become full-time researchers and engineers at NVIDIA and other world-leading tech companies, started academic careers at top universities, and launched robotics and AI companies.

Note: This internship role will be based at NVIDIA's Zurich office.

What you will be doing:

Developing algorithms, models, and methods for robotic manipulation and/or loco-manipulation, for both industrial and household applications;
Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;
Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;
Engaging with the academic community through high-impact publications, conferences, workshops, and/or code releases.

What we need to see:

Enrolled in a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
Knowledge of both the theory and practice of robotics and AI, with a strong interest in connecting your work to real-world robotics applications.
A demonstrated research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.
Exceptional communication, collaboration, and interpersonal skills, with significant experience working on a team.
Exceptional programming skills in Python; in addition, familiarity with C++, CUDA, and Warp is a plus.
Fluency in modern deep learning frameworks such as PyTorch and JAX.
Experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, MuJoCo, and/or Newton.
Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems; and designing robust workflows for model training and evaluation.

The following research areas and applications are of particular interest:

Bimanual and dexterous manipulation
Mobile manipulation and humanoid loco-manipulation
Multisensory perception (e.g., vision, tactile, and force/torque sensing)
Simulation, sim-to-real, and real-to-sim
Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning
Industrial applications, such as bin-picking, kitting, and assembly

Jetzt bewerben

Erweiterte Suche

machine learning Jobs in canton of zurich

Robotics Research Intern - 2026

Working Student (20-40%) – Autonomy Kits Configuration

Software Engineer III, Machine Learning, Search Intelligence

Reinforcement Learning Expert - Humanoid (Mensch)

Wissenschaftl./-r Mitarbeiter/-in im Bereich Data Science, Umweltwissenschaften, Agrarwissenschaften

CAD AI Machine Learning / Deep Learning Engineer – Coding Wizard ( 70% - 100% ) (remote/onsite)

AI Engineer | Zurich | Switzerland

Business Analyst / Requirements Engineer

Engineering Program Associate

Member of the technical staff (Frontend Engineer)

AI4IT Development Squad Lead 80 - 100% (m/f/d)

Quantitative Trader

Lead - Technology Product Manager

Senior Reinforcement Learning Engineer

Startup Account Manager, Switzerland

PhD Position: Molecular Thermodynamics and Transport Modeling for the Energy Transition

Data Engineering Intern

Technician

Doctoral position on PFAS Pathways: Tracking “Forever Chemicals” through Soil–Groundwater Interfaces for Safer Water

Numerical Modeling Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning in canton of zurich erhalten

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt