Robotics Simulation Engineer

Premier Global Links; San Francisco (CA); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Relocation assistance

Visa transfer eligible

Competitive equity

Job summary

Premier Global Links LLC in San Francisco (Financial District) is seeking a Robotics Simulation Engineer to build high-fidelity 3D simulations and synthetic data for training next‑generation robots. You will work on embodied AI, physics simulation, and world-model technologies, collaborating with AI researchers and robotics engineers.

Requirements include hands-on Blender and Python, experience with robotics simulation systems, and a PhD or Master’s preferred.

Qualifications

• Hands-on Blender and Python experience required.
• Experience building high-fidelity simulation systems or environments.
• Background in robotics simulation, embodied AI, physics AI, or related tech.
• Master’s/PhD or top-tier university degree preferred.

Responsibilities

• Build high-fidelity robotics simulations and 3D assets using Blender and Python.
• Generate synthetic training data for robotics and embodied AI.
• Develop simulation infrastructure, environments, and automated data pipelines.
• Model robot dynamics, physics, and interactions for various robots.
• Improve simulation workflows for creating, running, and evaluating virtual environments.
• Collaborate with AI researchers and robotics engineers to boost quality and performance.

Skills

Blender

Python

Robotics simulation

Problem solving

Research environment

On-site work

Education

Master's or PhD in related field

Tools

MuJoCo

NVIDIA Isaac Sim

PyBullet

Gazebo

Drake

Omniverse

ROS2

C++

Job description

About the Opportunity

Premier Global Links LLC is recruiting on behalf of a confidential, fast-growing AI company developing advanced robotics simulation systems and synthetic data solutions.

We are seeking a Robotics Simulation Engineer to build high-fidelity 3D simulations and digital environments that help train next-generation robots. This is an opportunity to work on cutting-edge robotics, embodied AI, physics simulation, and world model technologies.

We welcome both exceptional early-career candidates and experienced simulation engineers.

Key Responsibilities

• Build high-fidelity robotics simulations and 3D digital assets using Blender and Python.
• Generate synthetic training data for robotics and embodied AI applications.
• Develop simulation infrastructure, environments, and automated data-generation pipelines.
• Model robot dynamics, physics, and interactions for humanoid robots, manipulators, and robotic arms.
• Build and improve simulation workflows for creating, running, and evaluating virtual environments.
• Collaborate with AI researchers and robotics engineers to advance simulation quality and performance.

Required Qualifications

• Strong hands-on experience with Blender and Python; these are the top technical priorities.
• Experience building high-fidelity simulation systems, environments, or simulation infrastructure.
• Background in robotics simulation, embodied AI, physical AI, or related simulation technologies.
• Relevant industry experience at a robotics or AI company, or a degree from a top-tier university; Master's or PhD preferred.
• Strong technical problem-solving skills and ability to work in a research-driven environment.
• Willingness to work on-site in San Francisco five days per week.

Preferred Technical Skills

Experience with one or more of the following:

• MuJoCo, NVIDIA Isaac Sim, PyBullet, Gazebo, or Drake.
• C++ and ROS2.
• NVIDIA Omniverse and 3D simulation environments.
• Robotics physics, digital assets, and synthetic data generation.

Compensation and Benefits

• Base salary: $150,000–$300,000 annually, depending on experience.
• Competitive equity package.
• Relocation assistance available.
• Eligible visa transfers, including H-1B and OPT transfers, may be considered.

Work Location

Full-time, on-site position in the Financial District, San Francisco, CA, five days per week.

Equal Employment Opportunity

We welcome qualified applicants from diverse professional backgrounds. Hiring decisions are based on relevant skills, qualifications, experience, and business requirements.