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Sensor Algorithm Engineer Jobs in California (NOW HIRING)

... sensor fusion) and reinforcement learning methods. Strong applied math background (e.g., numerical optimization, geometry, graphics). Familiarity with Swift and Apple developer tools.

HID Algorithms Engineer

Cupertino, CA ยท On-site

$98K - $133K/yr

... from sensor data acquisition through to the software layer. You will work closely with algorithm engineers, firmware engineers, and software teams to bring algorithm prototypes into production ...

... sensor fusion) and reinforcement learning methods. Strong applied math background (e.g., numerical optimization, geometry, graphics). Familiarity with Swift and Apple developer tools. Minimum ...

... sensor data acquisition through to the software layer. You will work closely with algorithm engineers, firmware engineers, and software teams to bring algorithm prototypes into production-quality ...

... sensor data acquisition through to the software layer. You will work closely with algorithm engineers, firmware engineers, and software teams to bring algorithm prototypes into production-quality ...

Algorithm Developer

Santa Clara, CA ยท On-site

$131K - $180K/yr

ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment * Perform ... Working with SW engineering team to develop data pipeline / modeling pipeline that can be ...

Algorithm Developer

Santa Clara, CA ยท On-site

$161K - $221K/yr

ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment * Perform ... Working with SW engineering team to develop data pipeline / modeling pipeline that can be ...

Algorithm Developer

Santa Clara, CA ยท On-site

$161K - $221K/yr

ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment * Perform ... Working with SW engineering team to develop data pipeline / modeling pipeline that can be ...

ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment * Perform ... Working with SW engineering team to develop data pipeline / modeling pipeline that can be ...

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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 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:
GNSS Navigation Algorithm Engineer

GNSS Navigation Algorithm Engineer

Judge Group, Inc.

Torrance, CA โ€ข On-site

$85 - $90/hr

Other

Posted 10 days ago


Job description

Location: Torrance, CA Salary: $85.00 USD Hourly - $90.00 USD Hourly Description: Our client is currently seeking a GNSS Navigation Algorithm Engineer
GNSS Navigation Algorithm Engineer
Location: Torrance, CA (Onsite)
Job Type: Contract (12+ Months)
About the Role
Our client is seeking a highly skilled GNSS Navigation Algorithm Engineer to join their engineering team in Torrance, CA. This role is ideal for professionals with strong expertise in GNSS navigation systems, estimation theory, and embedded software development who are passionate about developing next-generation navigation solutions.
As a key contributor, you will be responsible for researching, designing, implementing, and validating advanced GNSS navigation algorithms for embedded platforms. You will work closely with cross-functional teams to deliver innovative navigation products and resolve complex system-level challenges.
Key Responsibilities
  • Design, develop, implement, and optimize advanced GNSS navigation algorithms for embedded systems.
  • Apply estimation theory and navigation principles to develop robust positioning, navigation, and timing solutions.
  • Develop high-quality software using C/C++ for embedded applications.
  • Perform algorithm analysis, testing, validation, and performance optimization.
  • Create and maintain technical documentation for software and algorithm designs.
  • Participate in peer reviews of software architecture, algorithm design, and code implementation.
  • Collaborate with software, hardware, and systems engineering teams to diagnose and resolve complex technical issues.
  • Support new feature development and continuous improvement of navigation products.

Required Qualifications
  • Strong experience with GNSS navigation systems and algorithms.
  • Solid understanding of estimation theory, filtering techniques, and navigation concepts.
  • Hands-on experience developing software in C/C++ for embedded platforms.
  • Experience designing, implementing, and testing complex navigation algorithms.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Ability to work effectively within cross-functional engineering teams.

Preferred Qualifications
  • Experience with GPS, GLONASS, Galileo, BeiDou, or multi-constellation GNSS systems.
  • Knowledge of Kalman Filtering, Sensor Fusion, and Navigation/Positioning algorithms.
  • Familiarity with real-time embedded systems and software development best practices.
  • Experience in product development environments involving navigation, robotics, autonomous systems, or related technologies.

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Contact:
This job and many more are available through The Judge Group. Please apply with us today!