Skild AI
Skild AI builds a general-purpose robotic intelligence and software stack to train and deploy robots that adapt to varied, unseen tasks for commercial use. It offers a platform and models for robot manufacturers and enterprises automating physical work, with support for integration across manipulators and mobile systems. Founded in 2023 and headquartered in Pittsburgh, the privately held company raised a Series C in 2026.
Open Positions at Skild AI
20 open positions
Build the software that provisions, calibrates, and tests robots across manufacturing, repair, and service. You’ll debug failures across hardware, firmware, and software while creating reliable technician-facing workflows and automated system checks.
Robotics Quality Assurance Engineer responsible for validating full-stack robotic systems across software, simulation, hardware-in-the-loop, and real robots. The role builds automated regression coverage and ensures new capabilities are ready for fleet deployment.
Own and improve teleoperation systems that enable reliable, high-quality robot data collection for Skild AI’s learning systems. You’ll build monitoring and debugging tools, integrate teleoperation hardware and software, and work closely with robotics, ML, data operations, and robot operators.
Build web and Android interfaces that help customers and operators monitor, control, and debug robotic fleets in real time. You’ll combine full-stack engineering with 3D rendering, spatial visualization, and resilient offline-first architecture.
Build advanced computer vision and machine learning perception systems that enable robots to operate reliably in real-world, unseen scenarios. This hands-on role spans model development, data strategy, evaluation, deployment, and robotics integration.
Own camera integration end to end for real-time robotic systems on NVIDIA Tegra platforms. This hands-on role combines embedded software, camera hardware bring-up, low-latency pipelines, synchronization, and vendor collaboration.
Build advanced computer vision and machine learning perception systems that enable robust robotic intelligence in real-world environments. This hands-on role spans model development, data strategy, applied research, and production deployment.
Own camera integration and low-latency software pipelines for real-time robotic systems on NVIDIA Tegra platforms. You’ll work across sensor bring-up, Linux drivers, synchronization, calibration, hardware/software debugging, and APIs for robotics and autonomy systems.
Build and deploy robust software that bridges foundation models and real-world robotic systems. This hands-on role combines robotics development, systems integration, debugging, and production deployment.
Build the edge-to-cloud systems that connect, update, and monitor Skild AI’s robot fleet at scale. This hands-on role combines robotics software, cloud infrastructure, OTA updates, and fleet reliability engineering.
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