Robotics Engineer

Ludo Robotics•San Francisco, CA

3d•$98,000 - $305,000•Onsite

About The Position

LUDO ROBOTICS is dedicated to building general-purpose robotic intelligence systems that are robust, adaptive, and capable of handling real-world scenarios. We believe that data-driven machine learning at massive scale is the key to unlocking these capabilities and enabling the widespread deployment of robots across society. We are a new startup headquartered in Bay Area, California, with an office in Seoul, Korea. Our team spans a wide range of backgrounds and experience, from new graduates to seasoned domain experts. What matters most to us is ownership, speed, and intellectual curiosity - people who take responsibility, move fast, and enjoy thinking deeply about hard problems. We are supported by a highly advanced AI Center within KRAFTON, a leading global video game company best known for the genre-defining worldwide success PUBG: Battlegrounds. KRAFTON has extensive experience building and operating large-scale, data-rich products, and we have secured investment from them. This gives us strong long-term backing, deep technical partnership opportunities, and access to world-class infrastructure and talent networks as we push robotic intelligence forward. As a Robotics Engineer at Ludo Robotics, you will build the software - and own the hardware integration - that brings our robots to life and bridges our foundation models with reliable, real-world deployment. This is a hands-on, highly technical role at the intersection of software development and systems integration. You will translate complex real-world requirements into robust, deployable robotic solutions, bring them up and validate them on physical hardware, and collaborate closely with cross-functional teams to ship and continuously improve them. Depending on your strengths, your work may span navigation, motion planning and control, SLAM, perception, manipulation, and high-level behaviors - along with the sensor integration, calibration, and hardware bring-up that make them work on real platforms. You will write production-grade code, deploy state-of-the-art models developed by our research team, and trace and resolve failures across the hardware, software, and model layers.

Requirements

BS, MS, or higher degree in Computer Science, Robotics, Electrical or Mechanical Engineering, or a related field, or equivalent practical experience.
3-5+ years of hands-on experience in robotics application development, system integration, or field deployment.
Proficiency in C++ and Python.
Hands-on experience developing and deploying software on real robots.
Working knowledge of ROS/ROS2 or other robotics middleware platforms.
Strong systems-level understanding of the software modules and interfaces in a robotic application, and how they interact with hardware.

Nice To Haves

Strong technical depth in at least one of: navigation, motion planning and control, SLAM, perception/computer vision, or manipulation.
Experience integrating and deploying machine learning models on robotic systems.
Background in autonomous systems - robotics, drones, autonomous vehicles, industrial automation, or similar.
Familiarity with vision systems, simulation tools, and sensor integration and calibration.
Hardware experience - sensor and actuator integration, robot bring-up, or working with embedded or real-time systems.
Strong software engineering fundamentals, including algorithms, data structures, and system design.
Strong analytical and problem-solving skills, with the ability to work in a fast-paced, dynamic environment.

Responsibilities

Design, develop, and deploy software for robotic systems - including programming, configuration, and validation - across navigation, motion planning and control, SLAM, perception, manipulation, and/or high-level behaviors.
Write and maintain production-level C++ and Python code for our robotic platforms.
Integrate sensors, actuators, and compute, and lead hardware bring-up, calibration, and validation on real robots.
Deploy, integrate, and monitor robotic solutions in production environments and at field sites, ensuring robust performance and reliability.
Test, troubleshoot, and debug robotic applications - tracing failures across the hardware, software, and model layers and reproducing edge cases.
Work closely with ML and core robotics engineers to deploy state-of-the-art models and translate field learnings into system improvements.
Continuously analyze, improve, and optimize robot algorithms and system performance for reliability and scalability.
Build and maintain technical documentation, runbooks, and tooling, and collaborate across hardware, operations, and R&D teams to optimize performance and scalability.