Jobs at Skild AI

Own full-cycle recruiting for technical, engineering, and robotics roles in India. Partner with local and global hiring managers to define roles, source candidates, manage pipelines in Greenhouse, coordinate interviews across time zones, benchmark compensation, and provide market intelligence on Indian tech/robotics hiring trends.

The Robotics Engineer will enhance software performance via automated testing, design test plans, debug issues, and maintain robots for deployment.

The Robotics Engineer will design automated software tests, maintain robots for deployment, and collaborate with software developers to enhance product quality.

Design and develop hardware systems integrating mechanical and electrical components, working closely with cross-functional teams to ensure reliability and performance.

The Physics Simulation Scientist will advance physics simulation methods for robotics, focusing on GPU-accelerated algorithms and collaborating on sim-to-real transfer.

Lead and scale end-to-end robotics data collection, labeling, and annotation operations. Manage cross-functional teams, build 0-to-1 large-scale data pipelines, coordinate physical setups and contractors, and align data operations strategy with executive leadership to support rapid company growth.

The System Identification & Controls Engineer will characterize and validate robot dynamics, design tests, apply controls, and automate identification processes across robot fleets.

The UI/UX Designer will create user interfaces for robot control applications, develop 3D models, optimize designs, and collaborate with teams to enhance user experiences.

The Robotics Engineer will develop software solutions for robotic manipulation, design algorithms, and collaborate with the ML team on real robot deployments.

The role involves enhancing software reliability for robotic systems, leading discussions, and collaborating with machine learning and deployment teams to ensure integration of AI models.

The Firmware Engineer will develop and optimize firmware for BLDC motor control and embedded systems, ensuring seamless integration and performance.

Research Engineers will develop scalable robotic systems using state-of-the-art machine learning and robotics, turning research into practical solutions.

The Computer Vision AI & ML Engineer will develop and optimize deep learning models for robotics perception systems, collaborating across teams to integrate models and evaluate performance.

Responsible for designing and implementing reinforcement learning algorithms, conducting experiments, and optimizing models for robotic applications, collaborating with multiple teams.

As a Research Scientist, you will develop new algorithms for robot foundation models, conduct research in machine learning and robotics, and enhance technology advancements within the company.

The Software Engineer will optimize AI inference processes for robotic systems, ensuring high performance under varying constraints and building infrastructure for model integration.

Develop and optimize AI training pipelines, collaborate with researchers, ensure reliability and performance of training systems, and integrate advanced algorithms.

Develop and deploy 3D computer vision and perception systems for robots: implement monocular reconstruction and SLAM, build visual localization and life-long mapping, enable visual servoing and navigation, research glare handling and generative reconstruction techniques, and maintain camera/2D LiDAR navigation stacks and data pipelines for training manipulation tasks.

The Full Stack Developer will build and maintain cloud infrastructure and web applications, focusing on robust systems for robot control and monitoring.

Seeking simulation engineers to design expansive virtual environments and enhance simulator software, collaborating with machine learning and research teams.