Jobs at Skild AI

Design, prototype, fabricate, and test electro-mechanical robotic systems for teleoperation, human-robot interaction, and data collection. Create CAD models and drawings, develop 3D-printed prototypes, integrate hardware with software, conduct testing and simulations, troubleshoot issues, and document designs and procedures. The role involves collaboration across engineering teams and may include haptic devices, exoskeletons, actuators, sensors, and high-speed control systems.

Own and improve robot teleoperation systems used for data collection. Diagnose tracking, retargeting, latency, and recording issues; build monitoring and reliability tools; evaluate teleoperation hardware and software; benchmark robot end-effectors; and collaborate with robotics, machine learning, data operations, and robot operators to improve usability and performance.

Owns biweekly and semi-monthly payroll across multiple entities, including corrections, terminations, bonuses, tax filings, and notices. Manages HRIS onboarding, employee benefits, open enrollment, carrier billing, renewals, compliance filings, and workers’ compensation audits. Partners with Accounting, Recruiting, People leadership, and external providers while improving payroll and benefits workflows through process automation.

Deploys, installs, configures, commissions, tests, and troubleshoots robotic systems at customer sites. Provides remote technical and customer support, resolves hardware, software, networking, and integration issues, trains users, documents deployments, and coordinates with engineering and product teams. The role requires hands-on technical troubleshooting, customer communication, system validation, travel, and physical equipment installation work.

Create, shoot, and edit short-form video content for TikTok, Instagram, and emerging platforms. Identify trends, develop branded content concepts, grow Skild AI’s social presence, and collaborate with creative, marketing, and robotics teams. This on-site role emphasizes rapid experimentation, consistent posting, and translating AI and robotics innovations into engaging content.

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

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 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.

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

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.

Develop and maintain mobile applications for robot control, implementing real-time features and collaborating with UI/UX design while ensuring application performance.

Design and optimize deep learning models for robotic manipulation, ensuring robust and efficient algorithms for real-world applications.

Develop and implement software for robotic systems focusing on navigation, planning, and integration of machine learning models.