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.