Standard Bots · 8 hours ago

Senior Simulation Engineer, AI Robotics

United States

Full-time

Remote

Senior Level

$170K/yr - $230K/yr

5+ years exp

Maximize your interview chances

Artificial Intelligence (AI)Information Technology

Insider Connection @Standard Bots

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Design and implement high-fidelity simulation environments that accurately model real-world physics and robot dynamics

Build and maintain simulation infrastructure that accelerates our AI model development cycle through: Predictive success metrics for pre-deployment validation, Automated benchmarking systems integrated with CI/CD pipelines, Enables rapid A/B testing of model iterations

Design and implement simulation-based evaluation metrics that correlate with real-world AI model performance, including task completion rates, generalization capabilities, and robustness measures

Develop synthetic data generation pipelines that help improve model training efficiency and reduce sim-to-real gaps

Collaborate with AI, robotics, and product teams to ensure simulation environments meet real-world deployment needs

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Simulation engineeringGame enginesPythonNodeJSReactDockerAI model developmentAR/VR/XR experiencePhysics simulatorsSynthetic data generationCI/CD pipelinesRobotics experience

Required

5+ years of engineering experience, especially in tech and product-driven environments.

Experience with game engines (Unity, Unreal, etc.), AR/VR/XR or physics simulators (e.g. Mujoco, IsaacSim, Drake, Pybullet, Gazebo)

Support AI research through simulation and pre-deployment validation metrics

Belief in the potential of AI to reshape industries, even if you’re new to the field.

Design and implement high-fidelity simulation environments that accurately model real-world physics and robot dynamics

Build and maintain simulation infrastructure that accelerates our AI model development cycle through predictive success metrics for pre-deployment validation, automated benchmarking systems integrated with CI/CD pipelines, and enables rapid A/B testing of model iterations

Design and implement simulation-based evaluation metrics that correlate with real-world AI model performance, including task completion rates, generalization capabilities, and robustness measures

Develop synthetic data generation pipelines that help improve model training efficiency and reduce sim-to-real gaps

Collaborate with AI, robotics, and product teams to ensure simulation environments meet real-world deployment needs

Tech Stack: Python, NodeJS/Typescript, React, Docker