Sensor Intelligence Engineer II - Signals & Physiology

United States Digital Space LLC; Boston (MA); On-site; USD 110,000 - 170,000; Full time

Job summary

the company in Boston is seeking an Engineer II to advance sensor-based insights through hardware, firmware, and data science collaboration. You will lead sensor modality development, perform data-driven analyses, and design studies to translate raw measurements into actionable product features.

Responsibilities include expert sensor design, data processing, and close collaboration with hardware and firmware teams to refine prototypes, with clear communication across multidisciplinary teams.

Qualifications

• Bachelor's degree in Electrical/Computer Engineering, Biomedical Engineering, or a related field.
• Master’s or PhD degree preferred.
• Hands-on experience leading sensor design from concept to completion.

Responsibilities

• Become the subject matter expert of a sensor modality and manage performance requirements.
• Process raw data and implement signal processing to evaluate sensor performance.
• Design hardware and human studies to capture data for sensor development.
• Collaborate with Hardware and Firmware engineers to inform prototype design.
• Communicate technical learnings to a multifunctional audience to guide decisions.

Skills

Sensor design

Python/Matlab

Data analysis

Signal processing

Machine learning

Lab equipment familiarity

Education

Bachelor's in Electrical/Computer Engineering or Biomedical Engineering

Master’s or PhD preferred

Tools

Electrical/optical/thermals lab equipment

Job description

the company in Boston is seeking an Engineer II to advance sensor-based insights through hardware, firmware, and data science collaboration. You will lead sensor modality development, perform data-driven analyses, and design studies to translate raw measurements into actionable product features.

Responsibilities include expert sensor design, data processing, and close collaboration with hardware and firmware teams to refine prototypes, with clear communication across multidisciplinary teams.