Join Skild AI as a Firmware Engineer to develop and optimize firmware for robotics and embedded systems.
Posted by employer 1 year ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Joblaze summary
The Firmware/Embedded Systems Engineer at Skild AI focuses on developing and optimizing firmware for BLDC motor control and real-time embedded systems, ensuring seamless integration with hardware components. Key skills include proficiency in C/C++, experience with low-level communication protocols, and familiarity with real-time operating systems like FreeRTOS. This role is ideal for individuals with a strong background in robotics or embedded systems, whether they are seasoned professionals or recent graduates eager to innovate. Skild AI's collaborative environment encourages exploration and creativity in advancing robotic intelligence.
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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 proficient Firmware Engineer that will develop and optimize firmware for BLDC motor control and real-time embedded systems. Key responsibilities include implementing control algorithms, debugging communication protocols, and integrating firmware with frameworks like ROS, while collaborating with hardware teams to ensure system performance.
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