Senior Signal Processing Engineer

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. 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 $150,000 - $215,000 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. 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)

{
  "content_hash": "a85c28105e5ecb4be079311b269b0922cb2179c8504b873c88995b99c8b37ab2",
  "source_hash": "7900d5767d18eb1d807867897ca4395742c64b8c577e065d88c35de437eda69c",
  "last_changed_at": "2026-06-09T07:57:51.833Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Boston, MA",
    "city": "Boston",
    "region": "MA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": 215000,
  "salary_min": 150000,
  "inferred_at": "2026-06-18T07:57:37.044Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Boston, MA",
      "city": "Boston",
      "region": "MA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}

{}

{
  "lists": [
    {
      "text": "RESPONSIBILITIES:",
      "content": "<div>\n\n<li>\n<p>Lead the design and development of signal processing for real-time, edge inference on consumer products</p>\n</li>\n<li>\n<p>Own the full lifecycle: prototyping, validation, productionization, and continuous improvement</p>\n</li>\n<li>\n<p>Evaluate commercial solutions; create demos and inform build/buy decisions</p>\n</li>\n<li>\n<p>Collaborate cross-functionally with hardware, software, and product teams to bring algorithms to WHOOP members</p>\n</li>\n<li>\n<p>Mentor junior engineers and contribute to a high-performance, research-to-production culture</p>\n</li>\n\n</div>"
    },
    {
      "text": "QUALIFICATIONS:",
      "content": "<div>\n\n<li>\n<p>B.S. in Electrical Engineering or related field, M.S. or PhD preferred</p>\n</li>\n<li>\n<p>5+ years of experience developing and deploying real-time sensor signal processing algorithms (e.g., physiological, audio, motion, etc.)</p>\n</li>\n<li>\n<p>Demonstrated experience deploying algorithms to consumer product embedded platforms (e.g. fixed-point DSPs or MCUs)</p>\n</li>\n<li>\n<p>Strong foundation in signal processing fundamentals (e.g., filtering, spectral analysis, time-frequency methods)</p>\n</li>\n<li>\n<p>Experience with system-level design and optimization to maximize product battery life</p>\n</li>\n<li>\n<p>Proficiency in Python or MATLAB for algorithm prototyping and with C/C++ for deployment to embedded product platforms</p>\n</li>\n<li>\n<p>Excellent communication skills, including the ability to present technical results to a diverse audience&nbsp;</p>\n</li>\n\n</div>"
    },
    {
      "text": "BONUS QUALIFICATIONS:",
      "content": "<div>\n\n<li>\n<p>Experience developing hybrid DSP/ML systems, with a focus on signal pre-processing and/or feature extraction</p>\n</li>\n<li>\n<p>Knowledge of embedded systems, RTOS, or firmware development</p>\n</li>\n<li>\n<p>Deep understanding of sensor physics or sensor fusion techniques</p>\n</li>\n<li>\n<p>Knowledge of microcontroller libraries for efficient signal processing (e.g. CMSIS-DSP or CMSIS-NN)</p>\n</li>\n\n</div>"
    }
  ],
  "country": "US",
  "createdAt": 1780694006970,
  "updatedAt": null,
  "categories": {
    "team": "Sensor Intelligence",
    "location": "Boston, MA",
    "allLocations": [
      "Boston, MA"
    ]
  },
  "salaryRange": null,
  "workplaceType": "onsite"
}