ZipRecruiter

Log In

1

Phd Signal Processing Jobs in California (NOW HIRING)

Apple

HID Algorithms Engineer

Cupertino, CA · On-site

$98K - $133K/yr

Our team draws from diverse backgrounds: signal processing, machine learning, firmware, software ... PhD with 3+ years of experience in algorithm integration or embedded/software systems Experience ...

previous page

Showing results 41-60

All JobsPhd Signal Processing JobsPhd Signal Processing Jobs in California

Phd Signal Processing information

What is a PhD signal processing professional?

PhD Signal Processing professionals are experts who have earned a Doctor of Philosophy (PhD) in the field of signal processing, which involves analyzing, modifying, and interpreting signals such as sound, images, and scientific measurements. They apply advanced mathematical and computational techniques to extract meaningful information from complex data. These specialists often work in research, academia, telecommunications, medical imaging, audio engineering, and other industries that require sophisticated data analysis. Their work is crucial in developing technologies like speech recognition, radar systems, and biomedical devices.

What are the key skills and qualifications needed to thrive as a PhD signal processing specialist?

To thrive as a PhD Signal Processing specialist, you need deep expertise in mathematics, statistical analysis, and advanced signal processing algorithms, underpinned by a doctoral degree in electrical engineering or a related field. Proficiency in MATLAB, Python, C++, and experience with simulation tools and machine learning frameworks are commonly required, along with publications or research experience. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are vital for designing innovative solutions, advancing research, and conveying complex findings to both technical and non-technical stakeholders.

What are some common challenges faced by professionals in PhD-level signal processing roles and how can they be addressed?

PhD-level Signal Processing professionals often encounter challenges such as managing large, complex datasets and developing novel algorithms that balance accuracy and computational efficiency. Staying current with rapidly evolving technologies and research can also be demanding. These challenges are typically addressed through ongoing professional development, collaboration with multidisciplinary teams, and leveraging advanced computational tools. Regularly participating in conferences, workshops, and peer discussions can also help professionals overcome research hurdles and stay innovative in their field.

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

AspectPhd Signal ProcessingSignal Processing Engineer
Required CredentialsPhD in Signal Processing or related fieldBachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, technology companies, product development
Employer & Industry UsageUniversities, research institutions, some tech companiesTech firms, telecommunications, aerospace, defense
Common Search & ComparisonYesYes

The main difference between Phd Signal Processing and Signal Processing Engineer lies in their focus and credentials. A PhD typically involves advanced research, theoretical work, and academic or R&D roles, while a Signal Processing Engineer applies practical skills in industry to develop and implement signal processing solutions. Both roles require knowledge of signal processing concepts, but their work environments and career paths differ significantly.

Is a PhD worth it in electrical engineering?

A PhD in electrical engineering, including signal processing, can lead to advanced research, academic positions, and specialized roles in industry. It typically requires several years of study and research, but can result in higher earning potential and expertise in areas like algorithms, hardware, and data analysis.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, especially for roles involving data analysis, algorithm development, and system design. Professionals with expertise in digital signal processing, machine learning, and programming tools like MATLAB or Python are sought after as technology advances and data-driven solutions expand.

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

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

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

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

What cities in California are hiring for Phd Signal Processing jobs?

Cities in California with the most Phd Signal Processing job openings:

Phd Signal Processing jobs near you
Infographic showing various Phd Signal Processing job openings in California as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Research Intern (PhD students)

Santa Rosa, CA • On-site

Keysight Technologies, Inc.
Electrical Equipment, Appliance, and Component Manufacturing • 10K+ employees
Learn more about Keysight Technologies, Inc.external

$49.83 - $53.67/hr

Internship

Re-posted yesterday

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
  • The internship is onsite at the Keysight Campus, where you will work together with your team in a physical workspace.

Qualifications
  • Must have completed MS and be in your PhD program

Skills Needed: Combination of electronics, signal processing, and circuit design skills.
  1. Electronics and Circuit Design
  • Understanding of analog and digital circuits, Knowledge of RF electronics, Experience with op-amps, filters, oscillators, and mixers.
  1. Signal Processing
  • Understanding Fourier Transform, Knowledge of waveform generation techniques, Concepts of modulation and demodulation, Signal amplitude, phase, and frequency analysis, Working with bandwidth, resolution, and dynamic range.
  1. Block Diagram Design Skills
  • Ability to conceptualize signal flow (e.g., from antenna to output display).
  • Knowledge of key components: RF Front-End (LNA, Mixer, LO), IF (Intermediate Frequency) Section, ADC (Analog-to-Digital Converter), Digital Signal Processing (DSP) Unit, Display/Interface Module
  1. Schematic Design and PCB Layout
  • Experience with schematic capture software, Understanding of PCB layout considerations for RF circuits, Knowledge of grounding, shielding, and impedance matching.
  1. Embedded Systems and Microcontrollers
  • Familiarity with FPGA, DSP, or microcontrollers for real-time processing, Programming in C/C++ or Python.
  1. Test and Measurement Skills
  • Experience using oscilloscopes, spectrum analyzers, and network analyzers, Understanding of signal integrity, noise reduction, and error handling.
  1. Simulation and Modeling
  • Working with MATLAB, Simulink, LTspice, or ADS (Advanced Design System), Ability to simulate and analyze RF circuits and signal processing algorithms.
  1. System Integration and Debugging
  • Ability to integrate different hardware and software components, debugging skills using logic analyzers, network analyzers, and signal generators.

CA Pay Range: $49.83-$53.67/ hr
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

What Keysight Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply