1

Dsp Engineer Jobs in Riverside, CA (NOW HIRING)

Exposure to DSP Programming * Excellent conceptual, analytical, and problem-solving abilities * Ability to excel in a fast-paced and dynamic work environment * Excellent verbal and written ...

Exposure to DSP Programming * Excellent conceptual, analytical, and problem-solving abilities * Ability to excel in a fast-paced and dynamic work environment * Excellent verbal and written ...

About the Role Celero is seeking a hands-on, highly motivated Coherent DSP Applications Engineer to help bring next-generation coherent optical DSP solutions from the lab to customer deployment. This ...

New

WHAT YOU'LL DO Viant's customers use the Demand Side Platform (DSP) to set up, run and monitor ad ... You will serve as the technical lead working with a team of engineers to oversee the design and ...

Principal Software Engineer

Irvine, CA · On-site

$190K - $260K/yr

Primarily supporting Viant DSP, you will collaborate with Product, Engineering and Technical ... operations teams on spec creation and providing production support. THE DAY-TO-DAY * Determine a ...

Principal, IC Digital Design Engineer

Irvine, CA · On-site

$146K/yr

Our group architects and implements advanced digital pipelines, high speed datapaths, and DSP ... Engineering, Computer Engineering, or related field ; PhD is a plus. Preferred / Plus Skills

next page

Showing results 1-20

Dsp Engineer information

See Riverside, CA salary details

$99.1K

$160.9K

$175.8K

How much do dsp engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for dsp engineer in Riverside, CA is $160,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $174,200.00 per year, depending on experience, location, and employer.

What is a DSP engineer?

A digital signal processing (DSP) engineer designs, develops, and maintains digital signals for accuracy. Duties of a DSP engineer include using knowledge of DSP algorithms and software to create or improve systems that process audio, visual, and data signals. They work with various types of systems, including undersea cables, audio-visual systems, or computer networking.

What are the key skills and qualifications needed to thrive as a DSP engineer, and why are they important?

To thrive as a DSP Engineer, you need a solid background in digital signal processing, mathematics, and programming, typically supported by a degree in electrical engineering or a related field. Familiarity with tools like MATLAB, Simulink, C/C++, and DSP hardware platforms is essential, along with knowledge of relevant industry standards. Strong analytical thinking, problem-solving abilities, and effective communication help you collaborate across multidisciplinary teams and troubleshoot complex systems. These skills ensure accurate signal processing solutions, efficient development cycles, and the delivery of high-performance products.

What are the common challenges a DSP engineer faces when working on real-time signal processing applications?

DSP Engineers often encounter challenges such as optimizing algorithms to run efficiently on hardware with limited processing power and memory, ensuring low latency for real-time applications, and minimizing power consumption, especially in embedded systems. They must also frequently collaborate with hardware, software, and systems teams to integrate their solutions seamlessly. Keeping up with evolving digital signal processing techniques and tools is essential for tackling complex signal environments and meeting project requirements.

What is the difference between Dsp Engineer vs Signal Processing Engineer?

AspectDsp EngineerSignal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; knowledge of DSP algorithmsBachelor's or Master's in Electrical Engineering, Signal Processing, or related fields; strong math and algorithm skills
Work EnvironmentDesigning and implementing digital signal processing systems, often in embedded environmentsDeveloping algorithms for analyzing and processing signals, often in research or software settings
Employer & Industry UsageTelecommunications, audio/video, defense, consumer electronicsResearch labs, academia, software companies, telecommunications

While both roles involve signal processing, Dsp Engineers focus on designing and implementing digital signal processing systems, often embedded, whereas Signal Processing Engineers typically develop algorithms for analyzing signals, often in research or software environments. The roles overlap in skills and industry usage but differ in application focus.

Are DSP engineers in demand?

DSP engineers are in high demand due to their expertise in digital signal processing used in telecommunications, audio, and imaging systems. The role often requires knowledge of programming languages like C/C++ and tools such as MATLAB, with employment opportunities growing as electronic devices and communication technologies expand.

What are popular job titles related to Dsp Engineer jobs in Riverside, CA?

For Dsp Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Dsp Engineer jobs in Riverside, CA look for?

The top searched job categories for Dsp Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Dsp Engineer jobs?

Cities near Riverside, CA with the most Dsp Engineer job openings:

Infographic showing various Dsp Engineer job openings in Riverside, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $160,897 per year, or $77.4 per hour.

Sr Engineer, AI/Machine Learning

Masimo Corporation

Irvine, CA • On-site

$140 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Job Summary

The Sr Engineer, AI & ML will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices, working on creating new non-invasive measurements, enable measurement technologies to be applied to new applications, and facilitate the design and creation of next-generation medical devices. It is a cutting-edge research and development opportunity with the potential to improve people’s lives by solving real-world problems. The key focus will be in analyzing data from different sources to discover relationships among various measurements and medically relevant conditions and developing computational models for disease diagnosis, detection and prediction of critical events.

Please note this is an onsite position at our Irvine, CA office.

Duties & Responsibilities
  • Design and develop AI and ML models to solve complex problems
  • Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar software
  • Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems
  • Design, train and evaluate machine learning models using large datasets in the cloud
  • Prototype new ideas/technologies to create proof of concept and demos
  • Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas
  • Work with cross-functional teams in the R&D group, including hardware and software engineers
  • Effectively communicate with engineering and marketing teams
  • Design clinical studies to collect physiological data from human subjects, perform data collection and analysis of physiological data
  • Carry out statistical analysis of clinical data
  • Implement physiological parameter measurement algorithms on embedded systems
  • Deliver high quality software design, documentation and implementation
  • Performs other duties as assigned
Minimum Qualifications
  • At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning techniques, optimization methods, and numerical modeling
  • Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc.
  • Expertise in data analysis and data mining
  • Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc.
  • Strong programming skills in MATLAB/Python/C/C++ and exposure to software engineering methods
  • Familiarity with DSP architecture and embedded systems
  • Exposure to DSP Programming
  • Excellent conceptual, analytical, and problem-solving abilities
  • Ability to excel in a fast-paced and dynamic work environment
  • Excellent verbal and written communication skills
Preferred Qualifications
  • Understanding of human physiology and exposure to designing clinical protocols are preferred
  • Prior experience in application of AI/ML and signal processing techniques tools to bio‑medical signals is a plus
Education

M.S. or Ph.D. degree in Electrical Engineering, Biomedical Engineering, or a related field required

Compensation + Benefits

The anticipated range for this position is $140,000 - $170,000. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 10% annual bonus based on Company, department, and individual performance. Masimo offers benefits such as Medical, Dental, Vision, Life/AD&D, Disability Insurance, 401(k), Vacation, Sick, Holiday, Paid Maternity Leave, Flexible Spending Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance Program, Pet Insurance, on-site Wellness Clinic, Fitness Center, Café. All benefits are subject to eligibility requirements.

#J-18808-Ljbffr

Masimo logo

About Masimo

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1989

Social media