Member of Technical Staff - Simulation

Veeda AI; Zürich; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Zusammenfassung

Veeda AI in Zürich is seeking a Member of Technical Staff - Simulation to join a small, fast-moving team building multimodal foundation world models for Physical AI. You will integrate world models with simulator APIs (Isaac Lab, Carla) and extend a physics-based simulation framework.

Responsibilities include building a robust scene and asset pipeline with OpenUSD, URDF, and MJCF, ensuring deterministic rollouts, and measuring fidelity against real hardware traces.

Qualifikationen

• Bachelor's degree or equivalent hands-on experience in Computer Science, Computer Graphics, Robotics, or a related technical field.
• Experience building or substantially extending a physics engine or simulation framework (Newton, MuJoCo, PhysX, or something proprietary).
• Strong C++ and Python skills and experience writing GPU code in CUDA, NVIDIA Warp, or an equivalent data-parallel framework.
• Fluency in 3D content pipelines (OpenUSD, glTF, meshes, materials, coordinate frames, units, inertias).
• Ability to measure simulation fidelity and close quantified gaps between simulators and the hardware they model.

Aufgaben

• Simulator integration: connect world models to existing simulator APIs familiar to customers (Isaac Lab, Carla).
• Harness engineering: rethink classical to physical AI harness equivalents.
• Synthetic data generation: own the loop to collect success/failure cases of both algorithms.
• Scene & Asset pipelines: build procedural scene generation and asset authoring on OpenUSD, URDF, MJCF with automated decomposition and inertia.
• Throughput & Determinism: keep rollouts replayable with fixed seeds and configurations.
• Environment API & Fidelity: own interface policy training runs and regression benchmarks against real hardware traces.

Kenntnisse

C++

Python

CUDA

3D pipelines

Simulation fidelity

Ausbildung

Bachelor's degree in CS/Graphics/Robotics

Tools

OpenUSD tooling

Omniverse Kit

MuJoCo

PhysX

Newton

Jobbeschreibung

Member of Technical Staff - Simulation

About Us

Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most challenging problems at the intersection of AI, robotics, and embodied intelligence. If you're excited about pushing the boundaries of what's possible with Physical AI, you'll have the opportunity to make an outsized impact from day one.

Responsibilities

• Simulator integration: Help us connect our world models to existing simulator APIs that customers are familiar with (Isaac Lab, Carla, etc).

• Harness engineering: Rethink "classical" to become a physical AI equivalent of an LLM coding harness.

• Synthetic data generation: Own the moment when the world model and policy close the loop, collect success/failure cases of both algorithms.

• Scene & Asset Pipelines: Build procedural scene generation and articulated asset authoring on OpenUSD, URDF, and MJCF, with automated convex decomposition, inertial-property assignment, and the QA that stops a broken asset reaching a training run.

• Throughput & Determinism: Help us keep rollouts replayable under a fixed seed and configuration so a regression can be bisected.

• Environment API & Fidelity: Own the interface policy training runs against (Gymnasium-style APIs, Isaac Lab managers) and the regression benchmarks that score both task success and divergence from real-hardware traces.

Requirements

• Bachelor's degree or equivalent hands-on experience in Computer Science, Computer Graphics, Robotics, or a related technical field.

• Experience building or substantially extending a physics engine or simulation framework (Newton, MuJoCo, PhysX, or something proprietary).

• Strong C++ and Python skills and experience writing GPU code in CUDA, NVIDIA Warp, or an equivalent data-parallel framework.

• Fluency in 3D content pipelines (OpenUSD, glTF, meshes, materials, coordinate frames, units, inertias) and their intricacies.

• Ability to measure simulation fidelity and close quantified gaps between simulators and the hardware they model.

Nice to Have

• Development experience with OpenUSD tooling or Omniverse Kit extensions.

• Scalable procedural content generation skills (Infinigen, Houdini, Blender Geometry Nodes).

• Experience with differentiable simulation or gradient-based system identification.

• Experience building 3D Gaussian splatting or NeRF reconstruction pipelines with simulatable outputs.

• Sensor modeling skills using real device characterization data (lidar, radar, event cameras, tactile arrays).

• Contributions to open-source simulation projects (Newton, MuJoCo Warp, Isaac Lab, mjlab).