Join Skild AI as a Robotics Software Engineer to develop innovative software solutions for advanced robotic systems.
Posted by employer 1 year ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
AI in the day-to-day
Collaborate with machine learning engineers to integrate state-of-the-art models into our robots.
Requirements
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Robotics Software Engineer at Skild AI focuses on developing and implementing software solutions for robotic systems, particularly in areas like navigation, planning, and perception. Proficiency in C++ and Python is essential, along with experience in deploying software on real robots and a solid understanding of robotics middleware like ROS. This position is well-suited for individuals with a background in computer science or engineering, who are eager to collaborate with a diverse team of researchers and engineers to push the boundaries of robotic intelligence.
Joblaze insights
Quick facts
From the original posting
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 Software Engineer to develop and implement software solutions for our robotic systems. Your work will entail building systems for navigation, planning and controls, SLAM, manipulation, and/or perception. You should be comfortable working with both general-purpose and specialized robotics applications. This role involves close collaboration with research scientists and machine learning engineers to integrate state-of-the-art machine learning models into our robots.
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