Description:

Standard Bots is on a mission to lower the barrier to entry for real-world automation, enhancing productivity across various industries.
The AI team is seeking simulation engineers to help robotic arms perform complex tasks in physical workplaces.
The role involves bridging the sim-to-real gap for deploying AI models to robots, and experience in robotics is not necessary.
Responsibilities include designing and implementing high-fidelity simulation environments that model real-world physics and robot dynamics.
The engineer will build and maintain simulation infrastructure to accelerate AI model development, including predictive success metrics and automated benchmarking systems.
The role also involves designing simulation-based evaluation metrics that correlate with real-world AI model performance.
Developing synthetic data generation pipelines to improve model training efficiency and reduce sim-to-real gaps is a key task.
Collaboration with AI, robotics, and product teams is essential to ensure simulation environments meet deployment needs.

Requirements:

Candidates should have 5+ years of engineering experience, particularly 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) is required.
The ability to support AI research through simulation and pre-deployment validation metrics is necessary.
A belief in the potential of AI to reshape industries is important, even for those new to the field.
Bonus points for candidates with experience in a deployed robotics environment.

The position offers the opportunity to be part of a team that is building the future of intelligent automation.
Employees will have the chance to make a tangible impact in the AI robotics revolution.
The role is fully remote, providing flexibility in work location.
Standard Bots is committed to transforming robotics and making intelligent automation accessible to businesses of all sizes.