Embedded Engineer at WHOOP
Embedded Engineer
WHOOP
On-site
Boston, MA
Full-time
Salary not listed
Posted 15 May 2026
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Job Description
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.