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Sensor Intelligence Engineer II (Biomedical Optics)

Whoop is hiring a Sensor Intelligence Engineer II (Biomedical Optics) in Boston, United States. Level rates it ; you can apply on Whoop.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Python, Signal Processing and Multiphysics Simulation.
  • Level classifies it as a mid-level role.
  • Level lists 132 other open roles at Whoop.

AI in this role

Develops biomedical optical sensing systems, signal processing workflows, and physiological algorithms for wearable devices.

pythonsignal-processingmultiphysics-simulation
biomedical-opticsppg-analysisalgorithm-developmentsensor-data-analysis

At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

WHOOP is hiring a Sensor Intelligence Engineer II to join the Sensor Intelligence team and help advance the next generation of biomedical optical sensing technologies. In this role, you will translate optical sensing concepts into validated systems and algorithms that enable meaningful physiological insights for WHOOP members. Working at the intersection of AD, hardware, firmware, data science, and human physiology, you will combine theoretical modeling, hands-on experimentation, and data analysis to inform future sensing capabilities and product development.

RESPONSIBILITIES:

  • Drive the evaluation and development of next-generation optical sensing concepts, including the definition of technical requirements, design tradeoffs, and validation criteria

  • Analyze raw time-series and multidimensional optical sensor data and construct signal processing work flows or platform for new physiological sensing etc.

  • Develop, validate, and improve physiological sensing principle using physics modeling and/or experimentation.

  • Analyze time-series and multidimensional biomedical sensor data to assess performance, identify artifacts and failure modes, and generate actionable recommendations for system and algorithm improvements

  • Develop or improve the multiphysics numerical simulation platform to optimize sensor performance or evaluate potential sensing concepts.

  • Collaborate with partners across Hardware, Firmware, Data Science, Research, and Product to communicate technical findings, influence design decisions, and translate research into scalable WHOOP capabilities

QUALIFICATIONS:

  • Master’s degree or PhD in Electrical Engineering, Biomedical Engineering, Applied Physics, Optics, or a related technical field, or an equivalent combination of education and practical experience

  • 3+ years of relevant industry or research experience developing biomedical optical sensing systems, signal processing methods, or algorithms

  • Demonstrated depth in: Analyzing raw time-series and multidimensional optical sensor data, including but not limited to: PPG signal AC, DC, Perfusion Index, Systolic Foot, Systolic Peak, Dicrotic Notch, Diastolic Peak, Crest Time, Diastolic Time, etc.

  • Experience analyzing time-series or multidimensional data from biomedical sensors, such as PPG, ECG, IMU, EMG, acoustic sensors, or medical imaging systems

  • Proficiency in Python, C, or C++ for data analysis, algorithm development, prototyping, or system implementation, with the ability to communicate technical findings clearly and deliver high-quality work as requirements evolve

  • 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.

Preferred Qualifications:

  • Familiarity with biomedical optics or biophotonics, with expertise in one or more areas such as diffuse optical spectroscopy, Raman spectroscopy, tissue optics, experimental optics, or a related field.

  • Experience with physiological sensing principles, understanding of the human circulation system and respiration system.

  • Hands-on experience designing, building, and characterizing optical sensing systems or laboratory experiments using components such as LEDs, lasers, photodetectors, lenses, collimators, and optical filters.

How we rate this

Sensor Intelligence Engineer II (Biomedical Optics) at Whoop rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Biomedical OpticsPpg AnalysisAlgorithm DevelopmentSensor Data AnalysisPythonSignal ProcessingMultiphysics Simulation

Questions you could be asked

  1. Tell me about a project where biomedical optics was part of your work. What did you do?
  2. Tell me about a project where ppg analysis was part of your work. What did you do?
  3. Tell me about a project where algorithm development was part of your work. What did you do?
  4. Tell me about a project where sensor data analysis was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Biomedical Optics, Ppg Analysis, Algorithm Development, Sensor Data Analysis, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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