Firmware/ Embedded Systems Engineer

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., * Design, debug, and integrate low-level communication protocols such as RS-485, CAN, UART, and SPI.

• Develop firmware for microcontrollersand embedded Linux environments
• Implement and maintain real-time systems using RTOS (e.g., FreeRTOS, RT Linux, VxWorks).
• Collaborate with hardware engineers to bring up new PCBAs and integrate them into electromechanical systems
• Integrate firmware into higher-level communication frameworks, such as DDS (Distributed Data Service), e.g., ROS.
• Test, validate, and debug firmware systems in the lab.
• Document firmware design processes and contribute to best practices.

Embedded Systems, Systems Engineering, Computer Firmware, Machine Learning, Artificial Intelligence (AI), Motor Control Systems, Algorithms, Realtime Operating System, Embedded Systems, Communications Protocols, * Bachelor’s or Master’s degree in Electrical Engineering, Robotics, or Mechatronics.

• Hands-on experience in firmware development for robotics, motor control, or embedded systems.
• Expertise in BLDC motor control, including FOC (Field-Oriented Control), PWM, and current/position control techniques.
• Proficiency in low-level communication protocols such as RS-485, CAN, and SPI.
• Experience with real-time embedded systems (e.g., FreeRTOS, RT Linux).
• Familiarity with DDS frameworks (e.g., ROS).
• Proficient in C/C++ for embedded systems and adept with debugging tools.
• Excellent problem-solving skills and ability to handle complex system integration challenges.

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.