Senior Robotics Simulation & ML Platform Engineer

Socket.dev; San Francisco (CA); On-site; USD 170,000 - 210,000; Full time

Job summary

Intuitive is seeking a Senior Software Engineer – Simulation & ML Platform to build scalable software that supports simulation-based data generation and ML development for robotic motion AI. You will collaborate with simulation data scientists and ML teams to translate research needs into reliable, extensible software systems.

Responsibilities include architecting pipelines and APIs for synthetic data, containerized workflows, and tools for headless or cloud execution, while ensuring

Qualifications

• Bachelor's degree in computer science, software engineering, robotics, or related field, or equivalent practical experience.
• 5+ years in software for simulation, ML, robotics, or autonomous systems; experience with high-volume data formats (Parquet, Zarr, HDF5).
• Strong Python and at least one language such as C++, Java, or TypeScript.

Responsibilities

• Build and maintain software infrastructure for robotic simulations and ML.
• Architect scalable pipelines for synthetic data and APIs for launching simulation workloads.
• Develop secure, GPU-enabled containerized environments for simulation, data processing, and experimentation.
• Collaborate with controls, embedded, systems, and robotics engineers to align simulated and physical interfaces.
• Establish standards for software development, testing, documentation, and release management.

Skills

Python

C++

Distributed systems

API design

Data-intensive apps

Docker & Linux

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

NVIDIA Isaac Sim

MuJoCo

ROS/ROS2

Docker

Kubernetes

PyTorch / ML tooling

Job description

Intuitive is seeking a Senior Software Engineer – Simulation & ML Platform to build scalable software that supports simulation-based data generation and ML development for robotic motion AI. You will collaborate with simulation data scientists and ML teams to translate research needs into reliable, extensible software systems.

Responsibilities include architecting pipelines and APIs for synthetic data, containerized workflows, and tools for headless or cloud execution, while ensuring