Skild AI

www.skild.ai

2 Jobs

25 Employees

About the Company

Building general purpose robotic intelligence.

Listed Jobs

Company Name: Skild AI
Job Title: Robotics Software Engineer
Job Description: Robotics Software Engineer **Role Summary** Develop and implement software solutions for general-purpose robotic systems, integrating machine learning models to enable navigation, planning, control, SLAM, perception, and manipulation. Collaborate with research and engineering teams to deploy scalable, reliable robotic systems. **Expectations** - B.S., M.S., or Ph.D. in Computer Science, Robotics, Engineering, or related field (or equivalent experience). - Prior experience in full-cycle software development for robotics applications. - Demonstrated systems-level understanding of modular robotic software architectures. - Proficiency in at least one core domain: navigation/planning, SLAM, perception, or control systems. **Key Responsibilities** - Design, implement, and test navigation, planning, control, and perception software for robotic platforms. - Develop and maintain production-grade C++/Python code for real-time robotic systems. - Integrate machine learning models with robotic software pipelines. - Collaborate with deployment teams to test and optimize robotic solutions in real-world environments. - Continuously refine software performance, reliability, and scalability. **Required Skills** - Expertise in C++ and Python programming. - Experience with robotics middleware (e.g., ROS/ROS2). - Software engineering fundamentals: algorithms, data structures, system design. - Practical problem-solving in robotic perception, control, or navigation subsystems. **Required Education & Certifications** - Bachelor’s degree (or higher) in Computer Science, Robotics, Electrical/Software Engineering, or equivalent practical experience.

San francisco bay, United states

On site

05-01-2026

Company Name: Skild AI
Job Title: Deep Learning Manipulation Engineer
Job Description: **Job title:** Deep Learning Manipulation Engineer **Role Summary:** Design, train, and deploy advanced deep learning models that enable robotic manipulation systems to analyze, plan, and execute tasks with perception and control agility. Work closely with machine learning, robotics, and deployment teams to ensure models are scalable, robust, and ready for real‑world robotic platforms. **Expactations:** - Deliver end‑to‑end deep learning pipelines from data ingestion to production deployment. - Demonstrate clear communication of model performance, limitations, and improvement strategies. - Maintain code quality, version control, and reproducibility standards. - Continuously research and integrate state‑of‑the‑art architectures and reinforcement/imitation learning techniques. **Key Responsibilities:** - Architect and implement deep learning models for robotic manipulation. - Model manipulation processes for analysis, simulation, planning, and control. - Collaborate with cross‑functional teams to develop scalable, generalizable solutions. - Integrate models into robotic platforms, ensuring seamless inference and real‑time operation. **Required Skills:** - Python programming and proficiency in a deep learning framework (PyTorch, TensorFlow, JAX). - Expertise in advanced neural architectures, reinforcement learning, and/or imitation learning. - Experience with distributed deep learning systems and model deployment pipelines. **Required Education & Certifications:** - Bachelor’s, Master’s, or higher degree in Computer Science, Robotics, Mechanical Engineering, or related field **or** equivalent practical experience.

San francisco, United states

On site

29-01-2026