Senior Robotics Systems Engineer - Robot Intelligence

Samsung Research America•Mountain View, CA

1d•Onsite

About The Position

The Robot Intelligence Lab at Samsung Research America is a new facility focused on robotics research and development. Its mission is to develop technologies for intelligent robotic systems capable of manipulation, navigation, and complex reasoning. The lab collaborates with universities, startups, government labs, and Samsung product and advanced research labs. Samsung Research America is seeking a Senior Robotics Systems Engineer to own the end-to-end software architecture for its robot platform. As an early team member, this engineer will build foundational systems and work across reasoning, dexterity, perception, and simulation teams to integrate their work into a cohesive platform. The role establishes architectural patterns, engineering practices, and infrastructure for rapid iteration and maintainable growth, including component interfaces, CI/CD pipelines, containerized environments, package management, and deployment strategies. The position offers technical challenges involving Samsung’s product ecosystem, AI, and robotics, with the goal of creating user experiences and robotics systems that can affect real-world users. The role is performed in an office setting and includes sitting and standing at a desk, communicating in person and by telephone, and frequently using standard office equipment such as telephones and computers. The base pay range is $163,300–$224,600 USD, with annual bonus eligibility and benefits.

Requirements

MS degree in CS/EE/Robotics, or equivalent combination of education, training, and experience.
5+ years of experience conducting state-of-the-art robotics R&D.
Proficiency in Python and C++, with experience developing and maintaining Linux-based software.
Experience with ROS/ROS2 and hands-on integration with robotics hardware.
Experience designing software components and defining clear interfaces within complex systems.
Practical experience with Docker, Git, CI/CD, and automated testing.
Ability to establish maintainable engineering practices while supporting fast-moving research.
Strong troubleshooting, collaboration, and documentation skills.

Responsibilities

Guide cross-platform robotics software architecture, including component interfaces, dependencies, and integration across software and hardware.
Establish practical codebase guidelines for repository organization, coding standards, code reviews, testing, and documentation.
Develop and integrate Python and C++ software within ROS/ROS2-based systems.
Build and maintain CI/CD pipelines and automated integration tests for simulation and physical robots.
Maintain Docker-based development and runtime environments across x86-64 (Intel/AMD) and ARM platforms.
Improve software deployment, logging, and troubleshooting workflows for robot computers and shared lab systems.
Support reproducible AI development environments and cloud-based training workflows in collaboration with researchers.