Senior Software Engineer – Simulation & ML Platform

Job description

Job responsibilities

• Build and maintain software infrastructure for robotic simulations & ML using NVIDIA Isaac Sim, Isaac Lab, MuJoCo or custom simulation environments.
• Architect scalable pipelines for generating synthetic and procedurally varied robotic interaction data including development of APIs, configuration systems, command-line tools, and SDKs for defining and launching…
• Build automated integration and validation pipelines for evolving simulation platforms, physics engines, and the NVIDIA AI ecosystem, enabling rapid adoption of new releases while maintaining compatibility,…
• Develop AI-assisted engineering workflows for automated code refactoring, maintainability analysis, architectural consistency, and CI/CD optimization, enabling readable, modular, and sustainable codebases while…
• Create reusable abstractions for robot configurations, tasks, sensors, scene assets, domain randomization, failure injection, data capture, episode termination, and evaluation.
• Build tools that allow data scientists to define experiments without modifying low-level platform code. Support headless, interactive, local, cluster, and cloud-based execution.
• Develop secure, GPU-enabled containerized environments for simulation, data processing, model inference, and experimentation.
• Build tools for importing physical robot logs into analysis and simulation environments. Enable software-in-the-loop, hardware-in-the-loop, and controlled trajectory replay where appropriate.

Job requirements

• Bachelor's degree in computer science, software engineering, computer engineering, robotics, or a related field, or equivalent practical experience.
• 5+ years of industry experience developing software for simulation, machine learning, robotics, computer vision, or autonomous-systems.
• Strong proficiency in Python and at least one additional language such as C++, Java, or TypeScript.
• Experience building data-intensive applications or data-processing pipelines. Experience designing and operating production-quality backend or platform systems.
• Strong understanding of API design, data modeling, concurrency, failure handling, and distributed-system fundamentals.
• Experience with Docker, Linux, testing, observability, and production deployment.
• Experience with NVIDIA Isaac Sim, Isaac Lab, MuJoCo, Gazebo, PhysX, or another robotics simulation platform. Familiarity with USD assets and scene composition.
• Experience with coordinate transforms, robot kinematics, joint states, trajectory representations, sensor synchronization, or closed-loop control.