Jobs Sim Jobs in San Francisco, CA

Experience with robotics, autonomous vehicles, or other safety-critical systems Experience with simulation environments (Gazebo, CARLA, Isaac Sim

• Experience with Isaac Sim/Lab, MuJoCo, SAPIEN, or equivalent, including contact dynamics and sim-to-real discrepancies.

About the Role The agent harness is Sim.

, sim-to-real, and real-to-sim-to-real pipelines Working directly with robotic hardware, sensors, actuators, and embedded systems Integrating and

Develop and improve training pipelines for sim-to-real transfer, including domain randomization, system identification, real-sim alignment.

failure modes Build tooling: Write Python and PyTorch code that improves our data engine, training pipelines, or eval infrastructure Close the sim-to-real

experience, including domain randomization and sim/real co-training Deploying and optimizing models on edge or onboard compute (quantization, TensorRT)

Teams connect their integrations and Sim builds a knowledge graph of company data and processes; from there, they work with Sim to build and monitor the AI agents

Physical AI teams have raw footage, lidar, radar, and sim outputs scattered across object stores with no way to find what they need without weeks of human annotation

multimodal learning Design and generate training and evaluation datasets from simulation, including environment setup, domain randomization, and sim-to-real

We're solving challenging technical problems around long-horizon autoregressive generation, world model controllability, and closing the sim-to-real gap.

Experience collaborating in large and complex code bases Experience with modern robotics simulation environments designed for ML (e.g., Isaac Sim

Teams connect their integrations and Sim builds a knowledge graph of company data and processes; from there, they work with Sim to build and monitor the AI agents

Ability to independently drive research projects from ideation through publication Background in embodied AI, robotic manipulation, or sim-to-real

Teams connect their integrations and Sim builds a knowledge graph of company data and processes; from there, they work with Sim to build and monitor the AI agents