THE COMPANY

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.

THE OPPORTUNITY

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.

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.

QUALIFICATIONS

• BS, MS, or higher degree in Computer Science, Robotics, Electrical or Mechanical Engineering, or a related field, or equivalent practical experience.
• 3+ 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.

PREFERRED QUALIFICATIONS

• 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.

Reasonable Accommodation

LUDO ROBOTICS is committed to the full inclusion of all qualified individuals. As part of this commitment, the Company will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to apply for an open position, perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the Operations Team, to begin the interactive process.

EEOC Statement

LUDO ROBOTICS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type.

This position may be filled at multiple levels depending on experience, scope, and business need. In California, the expected salary range for this position is $98,000–$305,000. The listed expected salary ranges represent good faith estimates. Actual compensation may vary based on job-related factors including experience, education, skills, performance, and work location. This position is also eligible for equity compensation and a comprehensive benefits package.

Don’t meet every single requirement?

Studies have shown that women and people of color are less likely to apply at jobs unless they meet every single qualification. At LUDO ROBOTICS we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You might just be the right candidate for this or other roles.

Due to recent scams, our recruiters will only reach out to you via @ludorobotics.ai, @sds.com, @krafton.com or @pubg.com. If you received an email and are unsure you can always email recruiting_KA@Krafton.com