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Sensor Algorithm Engineer Jobs in Sunnyvale, CA (NOW HIRING)

Apple

Perception Algorithm Engineer

Cupertino, CA · On-site

$126K - $166K/yr

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

Apple Inc.

Perception Algorithm Engineer

Cupertino, CA · On-site

$150K - $277K/yr

We are looking for a self-motivated algorithm engineer who is passionate about blending modern deep ... sensor fusion) and reinforcement learning methods. * Strong applied math background (e.g ...

Apple

HID Algorithms Engineer

Cupertino, CA · 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 ...

Apple

Perception Algorithm Engineer

Cupertino, CA

$150K - $277K/yr

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

Apple

Machine Learning Algorithm Engineer

Sunnyvale, CA

$150K - $277K/yr

... sensor modules, algorithms, data, software, and design. You'll build features through the entire ... Engineering (EE) or a related field / equivalent experience Minimum Qualifications 2+ years of ...

Apple

HID Algorithms Engineer

Cupertino, CA

$150K - $277K/yr

... 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 ...

Applied Materials

Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment Perform ... Guide algorithm developers working with him on same module Minimum Qualifications Master's degree ...

Apple

HID Algorithms Engineer

Cupertino, CA

$150K - $277K/yr

... 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 ...

Applied Materials

Algorithm Developer

Santa Clara, CA · 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 ...

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All JobsSensor Algorithm Engineer JobsSensor Algorithm Engineer Jobs in Sunnyvale, CA

Sensor Algorithm Engineer information

See Sunnyvale, CA salary details

$69.8K

$131K

$238.3K

How much do sensor algorithm engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for sensor algorithm engineer in Sunnyvale, CA is $131,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $155,500.00 per year, depending on experience, location, and employer.

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 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.

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 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.

What are popular job titles related to Sensor Algorithm Engineer jobs in Sunnyvale, CA?

For Sensor Algorithm Engineer jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Sensor Algorithm Engineer jobs in Sunnyvale, CA look for?

The top searched job categories for Sensor Algorithm Engineer jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Sensor Algorithm Engineer jobs?

Cities near Sunnyvale, CA with the most Sensor Algorithm Engineer job openings:

Sensor Algorithm Engineer jobs near you
Infographic showing various Sensor Algorithm Engineer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $131,017 per year, or $63 per hour.

Sensor Algorithm Engineer - Hardware

Santa Clara, CA • On-site

Talentlab
See more jobs at Talentlabexternal

$143K - $189K/yr

Other

Posted 20 days ago

Job description

Sensor Algorithm Engineer – Hardware / ASIC

Location: Santa Clara, California
Focus: Sensor Fusion, DSP, Fixed-Point Algorithms, ASIC Implementation

TalentLab is recruiting a Sensor Algorithm Engineer to develop advanced sensor fusion and signal processing algorithms targeted for hardware implementation.

This is a systems and algorithm design role sitting between sensor algorithms and ASIC hardware. You'll develop and evaluate algorithms using MATLAB and Python, translate them into fixed-point designs suitable for hardware implementation, and work closely with hardware, systems and software engineers as designs move from early R&D toward commercial products.

The technology is used across smartphones, wearables, IoT and other consumer devices, with a particular focus on extracting accurate information from inertial and other physical sensors.

What You'll Work On

Develop single and multi-sensor fusion algorithms targeted for ASIC implementation.

Design and optimize fixed-point implementations of signal processing and sensor algorithms.

Prototype and evaluate algorithms using MATLAB and Python.

Work with accelerometer, gyroscope, magnetometer and other sensor data.

Apply DSP, estimation and statistical techniques to real-world sensor problems.

Balance algorithm accuracy against hardware constraints including performance, power and computational complexity.

Validate and benchmark algorithms throughout the development process.

Work closely with ASIC, systems, software, integration and validation teams.

Support C/C++ implementations where required for software-based development and validation.

Produce detailed algorithm design, evaluation and implementation documentation.

What We're Looking For

Bachelor's, Master's or PhD in Electrical Engineering, Computer Engineering or a closely related discipline.

Strong foundation in digital signal processing and algorithm development.

Experience with fixed-point algorithm design and implementation.

Strong MATLAB and/or Python skills.

Experience with techniques such as Kalman filtering, adaptive filtering, linear algebra, probability and statistics.

Experience with sensor fusion, particularly using inertial sensors or IMUs.

Understanding of the considerations involved in translating algorithms from high-level models into hardware.

Hands-on algorithm implementation and debugging experience in software and/or hardware.

Particularly Relevant Experience

We're especially interested in candidates with experience in one or more of the following:

DSP algorithms targeted for ASIC or FPGA implementation.

Hardware-oriented algorithm design.

Sensor fusion and estimation.

Kalman filters and adaptive filtering.

IMUs, accelerometers, gyroscopes and magnetometers.

MATLAB-based algorithm modelling and simulation.

Signal processing architecture and hardware/software partitioning.

C/C++ implementation of signal processing algorithms.

Machine learning techniques applied to sensor data.

Research or publications in signal processing, sensor fusion or related areas.

The Role

The key distinction in this position is the hardware destination of the algorithms. We're not looking for a general machine learning engineer or an embedded software developer. The strongest candidates will understand both the mathematics behind signal-processing and sensor-fusion algorithms and the practical constraints involved in implementing those algorithms efficiently in silicon.

The role can accommodate candidates at different stages of their careers, including recent PhD graduates with directly relevant research in signal processing, sensor fusion, fixed-point design or hardware-oriented algorithm development.

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