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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 motivated and hands-on Electrical Hardware Validation Engineer to work closely with our Electrical Engineering team in developing and validating next-generation robotics electronics systems. This role focuses on defining and executing validation strategies for complex PCB designs used in robotics applications, including power systems, DC-DC converters, embedded computing platforms, motor control interfaces, and sensor systems.
In addition to new hardware validation, this role will also support debugging and failure analysis of existing robotic platforms in both lab and operational environments. The ideal candidate enjoys working hands-on with hardware, troubleshooting complex issues, developing test methodologies, and collaborating across engineering disciplines to improve system reliability and future hardware designs.
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Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics, or related field
Internship, academic project, or hands-on experience with PCB debugging or embedded electronics
Proficiency with lab equipment including oscilloscopes, multimeters, power supplies, electronic loads, and logic analyzers
Familiarity with power electronics, DC-DC converters, embedded systems, sensor and communication interfaces (I2C, SPI, UART, CAN, Ethernet), and lithium battery systems
Strong troubleshooting, debugging, and root cause analysis skills
Ability to read schematics, wiring diagrams, and interpret datasheets
Experience with robotics systems or autonomous platforms
Experience with PCB design tools such as Altium, KiCad, or Cadence
Experience with lithium battery testing or battery management systems (BMS)
Experience developing test automation scripts using Python or similar languages
Understanding of Design for Testability (DFT) principles
Experience with fixture design, pogo-pin interfaces, or functional test systems
Experience testing wire harnesses, connectors, or electromechanical assemblies
Exposure to EMI/EMC, thermal, vibration, or environmental testing
Familiarity with Linux-based embedded systems
Robotics AI startup building the world's first general-purpose robotic intelligence designed to be robust and adaptable to unseen scenarios through large-scale data-driven machine learning.
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