Senior Signal Processing Engineer

Posted 5 Hours Ago
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Boston, MA, USA
Hybrid
Senior level
Fitness • Hardware • Healthtech • Sports • Wearables
Power your performance with 24/7 data
The Role
Lead design and deployment of real-time, edge signal-processing algorithms for consumer wearable products. Own prototyping, validation, productionization, and optimization for battery life. Collaborate with hardware, firmware, and data science teams, evaluate commercial solutions, mentor junior engineers, and deliver physiological insights to millions of members.
Summary Generated by Built In

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

WHOOP is seeking a Senior Signal Processing Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Data Science. This role is central to developing next-generation sensor processing to enable foundational health features at WHOOP. You’ll develop the edge signal processing underpinning WHOOP physiological insights and coaching, ultimately delivering meaningful and personalized feedback to millions of members.

RESPONSIBILITIES:

  • Lead the design and development of signal processing for real-time, edge inference on consumer products

  • Own the full lifecycle: prototyping, validation, productionization, and continuous improvement

  • Evaluate commercial solutions; create demos and inform build/buy decisions

  • Collaborate cross-functionally with hardware, software, and product teams to bring algorithms to WHOOP members

  • Mentor junior engineers and contribute to a high-performance, research-to-production culture

QUALIFICATIONS:

  • B.S. in Electrical Engineering or related field, M.S. or PhD preferred

  • 5+ years of experience developing and deploying real-time sensor signal processing algorithms (e.g., physiological, audio, motion, etc.)

  • Demonstrated experience deploying algorithms to consumer product embedded platforms (e.g. fixed-point DSPs or MCUs)

  • Strong foundation in signal processing fundamentals (e.g., filtering, spectral analysis, time-frequency methods)

  • Experience with system-level design and optimization to maximize product battery life

  • Proficiency in Python or MATLAB for algorithm prototyping and with C/C++ for deployment to embedded product platforms

  • Excellent communication skills, including the ability to present technical results to a diverse audience 

BONUS QUALIFICATIONS:

  • Experience developing hybrid DSP/ML systems, with a focus on signal pre-processing and/or feature extraction

  • Knowledge of embedded systems, RTOS, or firmware development

  • Deep understanding of sensor physics or sensor fusion techniques

  • Knowledge of microcontroller libraries for efficient signal processing (e.g. CMSIS-DSP or CMSIS-NN)

Skills Required

  • B.S. in Electrical Engineering or related field
  • 5+ years developing and deploying real-time sensor signal processing algorithms
  • Experience deploying algorithms to consumer embedded platforms (fixed-point DSPs or MCUs)
  • Strong foundation in signal processing fundamentals (filtering, spectral analysis, time-frequency methods)
  • System-level design and optimization to maximize product battery life
  • Proficiency in Python or MATLAB for prototyping
  • Proficiency in C/C++ for deployment to embedded product platforms
  • Excellent communication skills and ability to present technical results to diverse audiences
  • M.S. or PhD
  • Experience developing hybrid DSP/ML systems, signal pre-processing or feature extraction
  • Knowledge of embedded systems, RTOS, or firmware development
  • Deep understanding of sensor physics or sensor fusion techniques
  • Familiarity with microcontroller libraries for efficient signal processing (e.g., CMSIS-DSP, CMSIS-NN)

What the Team is Saying

Josh
Manan Dedhia
Anahis

WHOOP Compensation & Benefits Highlights

  • Wellbeing & Lifestyle Benefits Wellness support includes a stipend and a complimentary WHOOP membership to use and gift, aligning perks with the company’s health focus. Feedback suggests these lifestyle benefits are a meaningful part of total rewards.
  • Healthcare Strength Core coverage spans medical, dental, vision, mental health services, and life and disability insurance. This breadth indicates a comprehensive health safety net.
  • Equity Value & Accessibility Total rewards commonly include stock options or equity participation, positioning ownership as part of compensation. Feedback suggests equity is viewed as a valuable component of the package.

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The Company
HQ: Boston, MA
500 Employees
Year Founded: 2012

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.


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WHOOP Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 4 days a week
HQBoston, MA
Limerick, Limerick, V94 4D83 Ireland
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