ZipRecruiter

Log In

1

Sensor Algorithm Engineer Jobs in California (NOW HIRING)

OSI Engineering, Inc.

Lead Sensor Engineer

Palo Alto, CA · On-site

$300K - $400K/yr

Lead Sensors Engineer / Sensor Architect You'll own sensor architecture and sensing system ... Deep expertise in PPG (Photoplethysmography), optical sensing, and heart-rate/HRV algorithm ...

Apple

Calibration Algorithm Architect

Cupertino, CA · On-site

... engineering experience Extensive knowledge of camera technologies including image sensor operation ... algorithms (AWB, AGC, AF, OIS), actuators, and optics Expertise in camera and image quality ...

Lyte

Senior PHY-Algo Engineer

Sunnyvale, CA · On-site

$150K - $250K/yr

We are seeking a Senior PHY Algorithm Engineer to join our team and contribute to the development ... sensor platforms * Strong foundation in signal processing, including spectrum analysis, filter ...

Qualcomm

Sensor System Engineer

Santa Clara, CA · On-site

Engineering Group, Engineering Group > Multimedia Systems General Summary: We are seeking a dynamic ... Lead algorithm development and validation by integrating sensor physics with advanced data analysis ...

Rosenxt

Sensor Engineer

San Luis Obispo, CA · On-site

... algorithms, implementing hardware abstraction layers, interfacing with FPGAs, and targeting ... Sensor Engineer Location : San Luis Obispo Responsibilities: * Design and implement sensor ...

next page

Showing results 1-20

All JobsSensor Algorithm Engineer JobsSensor Algorithm Engineer Jobs in California

Sensor Algorithm Engineer information

What are the key skills and qualifications needed to thrive as a Sensor Algorithm Engineer, and why are they important?

To thrive as a Sensor Algorithm Engineer, you need a strong background in signal processing, sensor physics, and applied mathematics, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages such as Python or C++, tools like MATLAB, and experience with sensor data fusion systems are typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across multidisciplinary teams and interpret complex data. These skills are essential to develop robust algorithms that ensure accurate sensor performance and drive innovation in fields like automotive, robotics, and consumer electronics.

What does a Sensor Algorithm Engineer do?

A Sensor Algorithm Engineer designs, develops, and tests algorithms that process data from various sensors, such as cameras, accelerometers, gyroscopes, or environmental sensors. Their work involves creating mathematical models and software to interpret sensor data for applications like robotics, autonomous vehicles, mobile devices, or IoT systems. They collaborate with hardware engineers and software developers to ensure accurate and reliable sensor performance. The role often requires expertise in signal processing, machine learning, and embedded systems.

What is the difference between Sensor Algorithm Engineer vs Signal Processing Engineer?

AspectSensor Algorithm EngineerSignal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques
Work EnvironmentDevelops algorithms for sensors in automotive, consumer electronics, or industrial applicationsDesigns and implements signal processing algorithms across various industries including communications and audio
Employer & Industry UsageUsed by companies developing sensor-based systems like IoT devices, autonomous vehicles, and roboticsCommon in telecommunications, audio engineering, and image processing sectors

While both roles involve algorithm development and require similar educational backgrounds, Sensor Algorithm Engineers focus on creating algorithms specifically for sensor data interpretation, whereas Signal Processing Engineers work on processing signals from various sources, including sensors, for broader applications.

How does a Sensor Algorithm Engineer typically collaborate with hardware and software teams during product development?

Sensor Algorithm Engineers often serve as a bridge between hardware engineers and software developers. They work closely with hardware teams to understand sensor specifications and limitations while collaborating with software teams to integrate algorithms into embedded systems or applications. Regular cross-disciplinary meetings and iterative testing are common, ensuring that sensor data is accurately interpreted and that the algorithms perform reliably under real-world conditions. This collaborative environment helps drive innovation and ensures that final products meet both technical and user requirements.
What are popular job titles related to Sensor Algorithm Engineer jobs in California? For Sensor Algorithm Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Sensor Algorithm Engineer jobs in California look for? The top searched job categories for Sensor Algorithm Engineer jobs in California are:
What cities in California are hiring for Sensor Algorithm Engineer jobs? Cities in California with the most Sensor Algorithm Engineer job openings:
Sensor Algorithm Engineer jobs near you
Lead Sensor Engineer

Lead Sensor Engineer

OSI Engineering, Inc.

Palo Alto, CA • On-site

$300K - $400K/yr

Other

Posted 26 days ago

Job description

Lead Sensors Engineer / Sensor Architect
You’ll own sensor architecture and sensing system development for a breakthrough stealth-stage neurotechnology and brain-computer interface (BCI) startup building an AI-powered neural interface platform. In this role, you will lead the development of the wearable sensing stack, with primary ownership of PPG (Photoplethysmography), optical sensing, heart-rate and HRV estimation, and multimodal sensor fusion. You will help bring a next-generation wearable to market by combining optical, inertial, temperature, and environmental sensing systems into a highly integrated AI companion platform.
The product is a sensor-rich textile wearable that combines EEG, physiological sensing, environmental awareness, and AI-driven personalization. This role requires deep expertise in wearable sensing systems, signal processing, sensor integration, and production-ready consumer hardware development.
What You''''ll Do

  • Own the non-EEG sensing architecture across the platform, including optical, inertial, temperature, and environmental sensing systems.
  • Lead PPG system development from architecture through production, including sensor selection, optical front-end design, skin interface development, and motion-robust heart-rate and HRV algorithms.
  • Define and evaluate the complete sensor suite, including
    • PPG and optical sensing
    • Accelerometers and gyroscopes
    • Body temperature sensing
  • Environmental sensing including humidity, light, ambient temperature, and barometric pressure
  • Own sensor selection, benchmarking, BOM strategy, and second-source planning across the sensing platform.
  • Develop signal conditioning, calibration, characterization, and validation methodologies across all sensing systems.
  • Architect sensor-fusion strategies that combine multiple sensing streams into reliable inputs for the AI platform.
  • Partner closely with Electrical Engineering, Firmware Engineering, Product Design, Reliability, and AI/ML teams to deliver an integrated sensing platform.
  • Define sensor electrical, mechanical, and firmware interfaces, including synchronization and cross-sensor timestamping requirements.
  • Drive technical reviews, design documentation, validation plans, and production readiness activities.
  • Work directly with external engineering teams and manufacturing partners while maintaining ownership and accountability for delivered sensing solutions.
  • Help build and scale the sensing organization as the company grows.


Responsibilities:

  • 10+ years developing sensors or wearable hardware systems, with at least one shipped product where you owned a sensing subsystem end-to-end.
  • Deep expertise in PPG (Photoplethysmography), optical sensing, and heart-rate/HRV algorithm development.
  • Strong background in sensor architecture, integration, calibration, characterization, and validation.
  • Experience selecting, benchmarking, and owning sensor BOM decisions, including second-source strategy.
  • Experience integrating sensors into wearable or consumer hardware products.
  • Hands-on laboratory experience with oscilloscopes, logic analyzers, and hardware debugging tools.
  • Track record of partnering closely with electrical, firmware, mechanical, and manufacturing teams.
  • Strong system-level ownership and ability to drive architecture, integration, validation, and production readiness.


Preferred Skills:

  • Multimodal sensor fusion across optical, inertial, and temperature sensing systems.
  • Activity sensing, gesture recognition, context classification, and orientation estimation.
  • Additional physiological sensing technologies such as SpO?, ECG, EDA, or EMG.
  • Body-temperature sensing, thermal modeling, calibration, and ambient compensation.
  • Knowledge of human physiology, biomechanics, and wearable sensing applications.
  • Biocompatible skin-contact sensing systems.
  • Always-on, ultra-low-power sensing architectures.
  • Founding engineer, lead engineer, principal engineer, or sensor architect experience within consumer hardware or wearable organizations.
  • Experience building or scaling sensor teams in fast-moving startup environments.

Type: Fulltime
Location: Palo Alto, CA (Hybrid Schedule)
Salary Range: $300k - $400k/y (DOE)

Apply