20 beste Stellen als simulation engineer in hinwil zh – aktuell auf Personalsuche

Software Engineer - Simulation
Flexion Robotics —Zürich, ZH
- Python
Direkt bewerben
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Consulteer —Zürich, ZH
- 100%
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- Englisch
- Master
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9 Tage
Simulation Lead Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Englisch
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Acutronic —Bubikon, ZH
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Robotics Research Intern - 2026
NVIDIA —Zürich, ZH
- 100%
- Doktorat
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- C++
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Neura Robotics —Zürich, ZH
- 100%
- Englisch
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Neura Robotics GmbH —Zürich, ZH
- 100%
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- Master
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AI Engineering Intern
Destinus —Zürich, ZH
- Doktorat
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Mechanical Design Engineer, Injection Molding – Humanoid (Mensch)
Neura Robotics —Zürich, ZH
- 100%
- CAD
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Mechanical Engineer - Humanoid (Mensch)
Neura Robotics —Zürich, ZH
- 100%
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Gravis Robotics —Zürich, ZH
- 100%
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Member of the technical staff (Frontend Engineer)
Jua —Zürich, ZH
- CHF 125’000 - CHF 160’000 pro Jahr
- 100%
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Member of the technical staff (Software Engineer)
Jua —Zürich, ZH
- CHF 125’000 - CHF 160’000 pro Jahr
- 100%
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Robot Platform Engineer (Mensch)
Neura Robotics GmbH —Zürich, ZH
- 100%
- C++
2 Tage
Senior Backend Engineer
ANYbotics —Zürich, ZH
- Teilzeit
- Homeoffice
- C++
- Python

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Software Engineer - Simulation

Flexion Robotics
Zürich, ZH

Direkt bewerben

Details zur Stelle

Qualifikationen

Robotik
Python

Vollständige Stellenbeschreibung

About Flexion

At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities.

The Role

We are looking for a Simulation Software Engineer to own and extend our simulation stack for robot learning.
Simulation is at the core of our approach to scaling intelligence. You will be responsible for building and maintaining the infrastructure that enables training, evaluation, and deployment of learning-based control systems at scale.
This is not a support role; you will own the simulation platform end-to-end, from physics fidelity to throughput optimization, and directly shape how our robots learn.

Key Responsibilities

Own the simulation stack. You will design, build, and maintain the core simulation infrastructure used for robot learning, taking responsibility for its architecture, reliability, and evolution. This includes making key decisions across physics, rendering, and data pipelines, and ensuring the system scales with our needs.
Push simulation fidelity. You will develop and refine models for contacts, actuators, deformables, and sensors to reduce the sim-to-real gap. This involves both improving physical realism and building the tools needed to validate the simulation against real-world behavior.
Scale training throughput. You will optimize the simulation stack for massively parallel reinforcement learning, implementing efficient multi-GPU and multi-node pipelines. You will identify and remove bottlenecks across compute, memory, and data movement to maximize training efficiency.
Photorealistic rendering & synthetic data. You will integrate and extend rendering pipelines to support vision-based learning, including domain randomization and synthetic dataset generation for robust perception systems.
Software-in-the-loop testing. You will maintain the infrastructure for validating policies and systems in simulation before deployment, enabling fast iteration cycles and reducing risk when transferring to real hardware.
Collaborate across teams. You will work closely with engineers and researchers across RL, control, perception, and hardware to ensure simulation remains tightly aligned with real-world performance and deployment needs.

Requirements

Strong experience building or extending simulation systems for robotics
Hands-on experience with modern GPU-based simulators such as MuJoCo, Isaac Gym / Isaac Lab
Proven track record of building simulation infrastructure used for learning-based robotics
Excellent programming skills in Python and Pytorch
Deep understanding of physics simulation (rigid body dynamics, contacts, actuators)
Knowledge of GPU systems and performance optimization

Nice to have

Experience with deformable objects, soft contacts, or complex actuation systems
Experience with multi-GPU / distributed training systems
Experience with Nvidia’s Warp

Benefits

Competitive compensation package
A front-row seat at one of Europe’s most ambitious robotics companies
An energetic, collaborative team with a bias for action

Direkt bewerben

Erweiterte Suche

simulation engineer Jobs in hinwil zh

Software Engineer - Simulation

Staff Engineer - GPU/HPC Semiconductor Manufacturing Simulation

AIML - Machine Learning Research Engineer, Generative AI - AFM

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Mechanical Engineer - Humanoid (Mensch)

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Mechanical Design Engineer (m/f/d)

Simulation Lead Engineer

Cloud & IoT Solution Engineer (w/m/d)

Robotics Research Intern - 2026

Mechanical Design Engineer, Injection Molding – Humanoid (human)

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Software Engineer - Infrastructure

Member of the technical staff (Frontend Engineer)

Member of the technical staff (Software Engineer)

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Senior Backend Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als simulation engineer in hinwil zh erhalten

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