Embedded Engineer

Embedded Engineer

Boston, MA May 16, 2026

Deadline date:

Job Description

• 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.