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Signal Processing Machine Learning Jobs in California

Align Technology

Staff R&D Engineer-Algorithm

San Jose, CA · On-site

$210K - $288K/yr

Architect robust signal processing and machine learning pipelines for physiological metrics. * Evaluate sensor signal quality, integrity, and reliability to ensure accurate data interpretation and ...

Apple

HID Algorithms Engineer

Cupertino, CA

$184K - $324K/yr

... signal processing, machine learning, etc. Experience programming in C++ and Python Able to communicate clearly and collaborate with cross-functional teams Excellent problem solving and root cause ...

Apple

HID Algorithms Engineer

Cupertino, CA

$184K - $324K/yr

... signal processing, machine learning, etc. Experience programming in C++ and Python Able to communicate clearly and collaborate with cross-functional teams Excellent problem solving and root cause ...

NextSense

Senior ML/Research Scientist

Mountain View, CA

$116K - $148K/yr

Apply signal processing, machine learning, and statistical analysis to decode biosignals. * Develop algorithms for automated detection of healthy and pathological neural signatures * Contribute to ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

Apply signal processing, machine learning, and statistical analysis to decode biosignals. * Develop algorithms for automated detection of healthy and pathological neural signatures * Contribute to ...

Apple

Camera Algorithms Engineer

Cupertino, CA

$150K - $277K/yr

As part of the team, you will work on core camera/ISP/Machine Learning technologies based on Apple crafted image signal processing pipeline and HW components, such as the Apple Neural Engine. Here ...

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All JobsSignal Processing Machine Learning JobsSignal Processing Machine Learning Jobs in California

Signal Processing Machine Learning information

See California salary details

$52.8K

$129.6K

$191K

How much do signal processing machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for signal processing machine learning in California is $129,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $145,600.00 per year, depending on experience, location, and employer.

What is a signal processing machine learning?

A Signal Processing Machine Learning job involves developing algorithms that analyze and process signals (such as audio, images, video, or sensor data) using machine learning techniques. Professionals in this role apply concepts from digital signal processing (DSP) to extract meaningful patterns, enhance signal quality, and improve data-driven predictions. They work in diverse fields like telecommunications, biomedical engineering, finance, and autonomous systems. Typical tasks include feature extraction, noise reduction, and deploying deep learning models for real-time signal interpretation. Strong skills in mathematics, programming (Python, MATLAB), and frameworks like TensorFlow or PyTorch are essential.

What does a signal processing machine learning do?

As a Signal Processing Machine Learning professional, you can expect to work on projects that involve developing and optimizing algorithms for tasks such as audio or image recognition, anomaly detection, or sensor data analysis. Daily responsibilities often include pre-processing and cleaning large datasets, feature extraction, building and training machine learning models, and validating system performance. Collaboration with cross-functional teams—such as hardware engineers, data scientists, and software developers—is common to integrate your solutions into products or services. The work environment is typically dynamic and may involve both research-oriented tasks and practical implementation to create impactful, data-driven applications.

What are the key skills and qualifications needed to thrive in signal processing machine learning?

To thrive in Signal Processing Machine Learning, you need a strong background in mathematics, digital signal processing, and machine learning, generally supported by a relevant degree in electrical engineering, computer science, or a related field. Experience with programming languages such as Python or MATLAB, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of signal processing libraries are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills in this position. These competencies enable you to design, implement, and refine advanced algorithms that address complex, real-world data challenges.

What are popular job titles related to Signal Processing Machine Learning jobs in California?

For Signal Processing Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Signal Processing Machine Learning jobs in California look for?

The top searched job categories for Signal Processing Machine Learning jobs in California are:

What cities in California are hiring for Signal Processing Machine Learning jobs?

Cities in California with the most Signal Processing Machine Learning job openings:

Signal Processing Machine Learning jobs near you
Infographic showing various Signal Processing Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $129,629 per year, or $62.3 per hour.

Staff Systems SW Engineer - Sensors Software (Santa Clara)

Qualcomm

Santa Clara, CA • On-site

$167 - $250.60/hr

Other

Re-posted 9 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies

Job description

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Multimedia Systems

General Summary

Sensors-based technology has a wide range of applications including navigation, gaming, smart user interface, multimedia, virtual reality, and augmented reality. This challenging position offers the opportunity to work with leading edge sensor technologies embedded in smartphones, automotive, IOT, smartwatches as well as other consumer electronics devices.

Job activities span the whole product life cycle from early R&D to commercial deployment. The successful candidate will work with systems, software, and integration/test engineers in the QCT sensors group.

The successful candidate will work on the development of software tools and user interfaces that support sensor technology research, development, and validation of workflows. The role involves designing intuitive and robust software interfaces, managing application state, and integrating frontend components with backend data processing services. The candidate will work with systems, software, and integration and test engineers in the QCT Sensors team, and will have the opportunity to contribute across a broad range of software and systems engineering activities.

Job Responsibilities
  • Implement sensor signal processing and machine learning algorithms across various embedded SOCs.
  • Debug, verify, optimize, and tune C code for MATLAB/Python signal processing and machine learning algorithms.
  • Proficiency in C, Python and MATLAB.
  • The ability to implement MATLAB-coded algorithms in C.
  • Familiarity with RTOS and multi-threaded programming environments.
  • DSP fixed point algorithm implementations and quantization for ML models.
  • Balance engineering considerations such as performance, memory, power, and complexity.
  • Assist other development and testing teams with algorithm deployment.
  • Architecting and implementing software frameworks and tools following established software design patterns including Model-View-Controller, event-driven programming, and component-based architectures on a variety of platforms.
  • Prototype on reference hardware platforms.
  • Document implementation flows and SW architecture design.
Minimum Qualifications
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
  • PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Preferred Qualifications
  • At least 4 years of embedded software development, with experience in implementing digital signal processing, machine learning algorithms in C/C++.
  • Hands-on experience on ML frameworks such as PyTorch and TensorFlow.
  • Experience with fixed point implementation and the use of quantization for ML models.
  • An understanding of the operation of accelerometers, gyroscopes, magnetometers, etc.
  • Detail oriented, taking a thorough and analytical approach, producing complete documentation.
  • Excellent written, verbal, and presentation skills.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Pay Range and Other Compensation & Benefits

$167,000.00 - $250,600.00

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What Qualcomm employees say

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Benefits

Hours and flexibility

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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