As a Machine Learning Engineer, you'll design and implement advanced reinforcement learning algorithms for robotic applications. Responsibilities include conducting experiments, optimizing models for real-world environments, and collaborating with cross-functional teams to integrate these models into robotic systems, directly impacting the deployment of intelligent robots.

As a Deep Learning Manipulation Engineer, you will design, train, and deploy algorithms for robotic manipulation, ensuring the models are robust and efficient. Collaborate with cross-functional teams to develop scalable solutions that enhance robotic capabilities in real-world applications.

As a Hardware Engineer, you will design, develop, and test hardware systems for robotics, working with both mechanical and electrical components. Responsibilities include creating CAD models, integrating hardware with software, conducting tests, troubleshooting issues, and preparing documentation.

As a Research Scientist at Skild AI, you will lead the development of new algorithms for training robotic foundation models, conduct interdisciplinary research in perception, robotics, and machine learning, and collaborate with a team to enhance innovative research strategies.

As a Research Engineer at Skild AI, you will develop scalable robotic systems for general-purpose robotic intelligence, create algorithms for training robot models, collaborate with teams to integrate research insights into practical applications, and optimize machine learning models for real-world systems.

As a Robotics Engineer at Skild AI, you will design and implement automated software tests, define quality standards, and troubleshoot failures. You will maintain robots for deployment and collaborate with software developers and machine learning engineers to enhance product quality and performance.

The Mechatronics Engineer will design, develop, and integrate hardware-software interfaces for robotic systems, debug issues spanning hardware and software, and collaborate with cross-functional teams to optimize system performance. The role requires developing test frameworks and writing scalable code to support robotics applications.

The Robotics Engineer will design and implement automated software tests for Skild AI's products, maintain robots ready for deployment, debug complex testing scenarios, and contribute to quality standards while collaborating with software developers and machine learning engineers.

The Full Stack Developer at Skild AI will design and implement web applications, manage cloud infrastructure, and ensure performance and security of systems for robotic control. Responsibilities include developing with Node.js, optimizing databases, implementing real-time communication, and collaborating with teams on projects.

As a React Native Developer at Skild AI, you will develop and maintain mobile applications for robot control, implement real-time communication features, and collaborate with the UI/UX team. The role focuses on optimizing application performance and navigating the integration of advanced web technologies in a robotics context.

The IT Generalist will manage and support IT infrastructure and security systems, ensuring smooth IT operations and safeguarding assets. Responsibilities include troubleshooting, administering access controls, maintaining IT equipment, developing IT policies, and collaborating with technical teams on robotic systems.

The UI/UX Designer will design intuitive interfaces for robot control applications and web platforms, utilizing skills in 3D visualization and interaction design. Key responsibilities include user interface design with React Three Fiber, 3D model creation using Blender, and collaborating with development teams. Also involved in user research and testing to enhance design effectiveness.

As a Robotics Engineer, you will develop and implement software solutions for robotic manipulation systems, focusing on algorithm and model design. Collaborate with ML engineers to deploy learning-based models on robots and maintain production-level software. This role emphasizes optimization and reliability in robotic software development.

As a Software Engineer at Skild AI, you will enhance robotics systems' performance and reliability by designing and maintaining software infrastructure. Collaborating with cross-functional teams, you will define technical roadmaps, lead discussions, write and review code, ensure system reliability through an on-call rotation, and develop comprehensive documentation.

As a Simulation Engineer, you will design realistic virtual environments and enhance simulator software for robotic applications, collaborating with machine learning engineers. The role emphasizes creating specialized simulators for high throughput data and requires a blend of technical skills and creativity from diverse backgrounds.

The Software Engineer at Skild AI will develop and optimize software infrastructure for training AI models, focusing on scalable training pipelines, collaborating with researchers, and ensuring system reliability through automated testing and continuous integration.

As a Software Engineer at Skild AI, you will optimize AI inference processes for robotic deployment, enhance model performance, and ensure efficient operation of AI-driven systems under varying hardware and compute constraints.

The Robotics Software Engineer will design, implement, and test software for robotic systems, working on navigation, planning, and controls. The role involves collaboration with machine learning engineers and deploying robust solutions in various environments.

The Firmware Engineer will develop and optimize firmware for BLDC motor control and real-time embedded systems, implement control algorithms, debug communication protocols, and work with hardware teams to enhance system performance. Responsibilities include testing and validating firmware in laboratory settings and documenting design processes.

As a Hardware Engineer, you will design, develop, and test hardware systems for robotic systems, collaborate with cross-functional teams, conduct testing and simulations, troubleshoot hardware issues, and prepare documentation for designs and procedures.