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Skild is building a scalable robotics platform in San Francisco. We seek a versatile Robotics Infrastructure Engineer to connect, manage, update, and monitor a fleet of robots at scale, with production-grade C++ and Python on devices and cloud pipelines.
You will collaborate across robotics, autonomy, hardware, deployment, and web product teams to enable real-time data-driven features, ensuring reliability and low-latency operation in real-world environments.
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
We are seeking a versatile Robotics Infrastructure Engineer to build the edge-to-cloud systems that connect, manage, update, and monitor our robot fleet at scale. Your work will span on-device software, cloud infrastructure, fleet observability, OTA updates, and reliable connectivity in real-world environments. You should be comfortable writing production-grade C++ and Python on robots while also designing secure, low-latency pipelines into cloud and web platforms. This role involves close collaboration with robotics, autonomy, hardware, deployment, and web product teams to unlock new capabilities powered by real-time robot data.
Base Salary Range
$100,000 - $300,000 USD