Easy Apply
Be an Early Applicant
Power your performance with 24/7 data
The Role
As a Sensor Intelligence Engineer, you will optimize sensor interfaces and develop algorithms for WHOOP wearables, focusing on low-level hardware control, firmware optimization, and performance testing.
Summary Generated by Built In
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
As a Sensor Intelligence Engineer at WHOOP, you’ll be part of a core team developing algorithms, hardware, and firmware that connect sensor data to health metrics which are foundational to WHOOP. This role will focus on optimizing low-level sensor interfaces to maximize battery life while balancing performance. This will involve developing low-level hardware-control algorithms in C and Python, building tools and pipelines to analyze data, optimizing firmware, and working closely with the embedded and hardware teams at WHOOP.
RESPONSIBILITIES:
- Optimize WHOOP wearables to maximize sensor performance vs power consumption. Develop and refine algorithms to control low-level hardware, interfacing with the embedded and hardware teams.
- Design and implement cutting-edge signal processing and machine learning algorithms on low-power MCUs and/or DSP processors, with a specific focus on ARM Cortex-M processors.
- Engage in firmware development involving developing new modules, re-architecting, and optimizing new and existing code for performance, taking advantage of hardware acceleration.
- Develop new tools and frameworks to support and automate the analyses.
- Conduct thorough analyses of sensor signal data, including SNR, noise characterization, and performance evaluation, to identify areas for improvement.
- Efficiently convert algorithms from Python/MATLAB into C, ensuring seamless integration and enhanced efficiency.
- Conduct performance testing and validation of signal processing algorithms in both simulation and real-world scenarios.
- Document all designs, methodologies, and results thoroughly for knowledge sharing and future reference.
QUALIFICATIONS:
- Bachelor's or Master’s degree in an engineering-related field with at least 2-years of industry experience working with signal processing and/or embedded systems
- Strong understanding of signal processing fundamentals and applications
- Proficiency in C and Python
- Experience with embedded systems and implementing signal processing or ML algorithms
- Creative problem-solver with a passion for innovating, improving processes, and developing new tools from scratch
PREFERRED QUALIFICATIONS:
- Knowledge of control theory as applied to sensor systems
- Familiarity with bare-metal or RTOS-based development on ARM-M series
- Strong understanding of how to map high-level algorithms to low-level implementation in C
- Experience with biosensor systems or biomedical signal processing, in particular with optics systems such as photodiodes, LEDs, and analog components such as ADCs
- Familiarity with Machine Learning algorithms and development
- Experience with statistical analysis and hypothesis testing
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $125,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Top Skills
Arm Cortex-M
C
Matlab
Python
What the Team is Saying
Anahis
Staff Tech Lead - Mechanical Engineering
Josh
Lead Designer
Manan Dedhia
Field Quality Manager
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.
Why Work With Us
At WHOOP, we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.
Gallery
WHOOP Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
4 days a week
