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Phd Wearable Sensor Intern Jobs in California (NOW HIRING)

Apple

Biomedical Sensor Architect

Cupertino, CA · On-site

Minimum Qualifications Knowledge of optical system design for wearable sensing applications ... PhD in Biomedical or Optical Engineering. 5+ years of industry experience in related field.

Apple

Biomedical Sensor Architect

Cupertino, CA · On-site

$184K - $324K/yr

PhD in Biomedical or Optical Engineering. 5+ years of industry experience in related field. Minimum ... design for wearable sensing applications including lens design, integration of electro-optical ...

Apple Inc.

Biomedical Sensor Architect

Cupertino, CA · On-site

$184.70 - $324.80/hr

Knowledge of optical system design for wearable sensing applications including lens design ... PhD in Biomedical or Optical Engineering. * 5+ years of industry experience in related field. At ...

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All JobsPhd Wearable Sensor Intern JobsPhd Wearable Sensor Intern Jobs in California

Phd Wearable Sensor Intern information

What does a PhD wearable sensor intern do?

A PhD Wearable Sensor Intern typically works on the research and development of advanced sensor technologies that can be integrated into wearable devices. Their responsibilities may include designing experiments, collecting and analyzing physiological data, developing algorithms to process sensor data, and collaborating with multidisciplinary teams. The internship is often aimed at leveraging the intern’s expertise to solve complex problems in wearable health monitoring, activity recognition, or user interaction. This hands-on experience helps bridge academic research with real-world applications in the wearable technology industry.

What types of projects might a PhD wearable sensor intern typically work on during their internship?

As a PhD Wearable Sensor Intern, you can expect to work on interdisciplinary projects that involve designing, prototyping, and testing advanced wearable sensor technologies. You may contribute to both hardware development and data analysis, collaborating closely with engineers, data scientists, and product teams to address real-world health or performance monitoring challenges. Interns often have the opportunity to publish research findings, present at internal meetings, and gain exposure to the product development lifecycle. This role provides valuable experience in both academic research and industry-driven innovation.

What are the key skills and qualifications needed to thrive as a PhD wearable sensor intern, and why are they important?

To thrive as a PhD Wearable Sensor Intern, you typically need a strong background in electrical engineering, biomedical engineering, or a related field, along with experience in sensor design and data analysis. Familiarity with programming languages (such as Python or MATLAB), signal processing tools, and hardware prototyping platforms is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate with multidisciplinary teams and articulate research findings. These skills are crucial for advancing sensor technologies and delivering impactful research outcomes in wearable health monitoring.

What is the difference between Phd Wearable Sensor Intern vs Phd Biomedical Engineer?

AspectPhd Wearable Sensor InternPhd Biomedical Engineer
CredentialsPhD or pursuing PhD in engineering, computer science, or related fieldsPhD in biomedical engineering, electrical engineering, or related fields
Work EnvironmentResearch labs, tech companies, startups focusing on wearable techHospitals, research institutions, medical device companies
Industry UsageInternship roles in wearable sensor development and testingDesign, develop, and improve biomedical devices and systems

The Phd Wearable Sensor Intern typically focuses on research and development of wearable sensor prototypes during an internship, often in a tech or startup environment. In contrast, a Phd Biomedical Engineer usually works on designing and improving medical devices in a more permanent role within healthcare or medical device companies. Both roles require advanced degrees but differ mainly in their scope, responsibilities, and work settings.

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For Phd Wearable Sensor Intern jobs in California, the most frequently searched job titles are:

What job categories do people searching Phd Wearable Sensor Intern jobs in California look for?

The top searched job categories for Phd Wearable Sensor Intern jobs in California are:

What cities in California are hiring for Phd Wearable Sensor Intern jobs?

Cities in California with the most Phd Wearable Sensor Intern job openings:

Phd Wearable Sensor Intern jobs near you
Infographic showing various Phd Wearable Sensor Intern job openings in California as of August 2026, with employment types broken down into 13% Internship, 1% As Needed, 62% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Sensor Systems Engineer - Sensor Fusion & Signal Processing

Talentlab

Santa Clara, CA • On-site

Full-time

Posted 11 days ago

Job description

Sensor Systems Engineer - Sensor Fusion & Signal Processing
Location: Santa Clara, CA
Focus: Sensor fusion, DSP, estimation algorithms
TalentLab is working with a leading semiconductor technology company on a Sensor Systems Engineer opportunity focused on advanced sensing technology for smartphones, wearables, IoT and other embedded consumer devices.
This role is centered on algorithm and systems engineering rather than traditional software development, combining digital signal processing, sensor fusion, estimation and machine learning to develop next-generation sensing capabilities.
What you'll work on
  • Design and develop single and multi-sensor fusion algorithms using DSP and ML techniques.
  • Work with accelerometer, gyroscope, magnetometer and other sensor data.
  • Apply techniques including Kalman filtering, adaptive filtering, linear algebra, probability and statistics.
  • Prototype algorithms using MATLAB and Python.
  • Evaluate and benchmark algorithms across accuracy, performance, power and computational complexity.
  • Support implementation of algorithms in C/C++ on embedded platforms.
  • Work across R&D, systems engineering, software integration, validation and commercial deployment.

What we're looking for
  • Bachelor's, Master's or PhD in Electrical Engineering, Computer Engineering or a related discipline.
  • Strong understanding of digital signal processing and estimation techniques.
  • Experience developing algorithms using IMU or other physical sensor data.
  • Knowledge of Kalman filters, adaptive filters, probability and statistics.
  • Experience with MATLAB and/or Python for algorithm development.
  • Exposure to machine learning techniques including classification, regression and feature extraction.
  • C/C++ experience is beneficial.
  • Publications or research in signal processing, sensor fusion or related areas are an asset.
How to Apply?
All qualified and interested applicants can apply directly to Gord Marriage by sending an email with attached resume to gord.marriage@talentlab.com. You may also apply directly on our website at www.talentlab.com. Although we thank all applicants for their interest, only those in consideration will be contacted.
www.talentlab.com

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