Embedded Engineer

**RESPONSIBILITES:** - Collaborate with senior engineers to design, implement, test, and maintain embedded firmware in C/C++ across WHOOP’s product portfolio. - Support the development and debugging process using software tools, hardware instrumentation, and electronic test equipment. - Write and maintain unit and functional tests to improve firmware reliability, stability, and performance. - Contribute to firmware architecture, documentation, and code quality initiatives, including requirements, design specifications, and coding standards. - Debug and troubleshoot issues spanning embedded software, hardware, peripherals, and communication interfaces. - Participate in code reviews and cross-functional technical discussions while continuously improving engineering practices and development workflows. - Contribute to efforts that optimize embedded resource utilization, power efficiency, and device stability. - Leverage AI tools responsibly as part of the software development lifecycle to improve productivity, learning, and engineering effectiveness. **QUALIFICATIONS:** - The ability to obtain and maintain a US government issued security clearance is required, and only US Citizens are eligible for such security clearances. - Bachelor’s degree or current pursuit of a degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field. - 0–2 years of embedded software development experience through internships, academic projects, research, or industry experience. - Proficiency in C/C++ and foundational knowledge of embedded systems, microcontrollers, and communication protocols such as I2C, SPI, and UART. - Familiarity with Git, testing methodologies, debugging techniques, and development tools such as Jira. - Exposure to operating systems and/or real-time operating systems (RTOS). - Ability to use electronic lab equipment such as oscilloscopes, multimeters, power supplies, and logic analyzers for debugging and validation. - Strong problem-solving, communication, collaboration, and analytical skills. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.