Join Skild AI as a Senior Software Engineer to enhance robotics systems and collaborate on innovative projects.
Posted by employer 1 year ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Software Engineer at Skild AI focuses on enhancing the performance and reliability of robotic systems through the design and maintenance of software infrastructure. Key skills include proficiency in languages like Python and C++, along with experience in system architecture and enterprise security. This position is ideal for candidates with at least three years of industry experience, particularly those with backgrounds in software or systems engineering. The team values diverse experiences and encourages innovative contributions to their cutting-edge projects.
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 looking for a Senior Software Engineer to enhance the performance, reliability, and maintainability of our cutting-edge robotics systems in deployment. You will design, implement, and maintain software systems for deployment in real-world robotic products. This role involves leading discussions and collaborating with machine learning, deployment, test, and security engineers to ensure seamless integration of our machine learning models into practical applications. You will also define technical roadmaps and drive product and system architecture direction.