2+ years of experience in customer-facing robotics solutions.
Degree in Computer Science, Robotics, Engineering, or related fields.
Proficient in low-level systems languages (C, C++, Rust, Go) and Python.
Experience with embedded systems and real-time software operations.
Knowledge of Test Management and Requirements software.
Familiar with ROS/ROS2 or similar robotics middleware.
Prior experience in Test Engineering.
Responsibilities
Source and refine customer requirements for on-site deployments.
Develop detailed technical specifications for tailored software and hardware.
Manage scenario setup and data collection for unique customer use cases.
Establish and uphold comprehensive regression tests for software and products.
Organize test plans by priority and feasibility.
Debug and troubleshoot complex deployment failures.
Ensure robots are ready for deployment and execute software and hardware installations.
Benefits
Innovative work environment focused on cutting-edge robotics technology.
Opportunity to work in a diverse team with varying levels of expertise.
Direct involvement in shaping the quality of pioneering AI and robotics products.
Full Job Description
Position Overview
We are looking for a Research Engineer who is passionate about delivering results in the real world. As a member of the post-training team, you'll be responsible for improving Skild foundation models and deploying them onto robots in the field. You'll work with customers and deployment data to deliver reliable robot behavior in real-world environments, ensuring our systems are safe, efficient, and robust under operational constraints.
We work across the final mile of robotics: turning strong lab performance into dependable customer deployments and continuous improvement. By bridging this gap, you will define the standard for how autonomous systems scale from experimental prototypes into indispensable global infrastructure. Responsibilities
Research, post-train and evaluate large deep learning models for robotic manipulation tasks.
Develop frameworks to continuously improve robot behaviors.
Collaborate closely with our product teams to source and iterate on customer requirements to ensure technical alignment for on-site deployments.
Own scenario setup and data collection methodologies, managing the operational lifecycle for unique customer use-cases.
Work with our robotics teams to maintain and ensure robots are deployment-ready and execute full-stack software and hardware deployments at customer sites.
Build robust testing and evaluation pipelines for tracking model improvements and corner cases.
Preferred Qualifications
BS, MS or PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
Deep technical knowledge in computer vision and deep learning for robotics, including reinforcement and imitation learning.
Prior experience working with large-scale model training.
Prior experience developing and deploying ML models or software on real robots.
Prior experience with ROS/ROS2 or other robotics middleware platforms.
Bonus if you have experience working with customers and deploying real-world robotics applications.
Bonus if you have experience leveraging LLMs to accelerate development and solve complex engineering problems.
