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Phd Signal Processing Jobs in California (NOW HIRING)

Cypress HCM

Signal Processing Engineer

Redwood City, CA

$150 - $190K/hr

Signal Processing Engineer Location: Belmont, CA (hybrid) Employees : Industry : Wireless services ... PhD in Electrical Engineering, or equivalent research experience, specializing in wireless ...

Array Labs

Signal Processing Engineer

Redwood City, CA · On-site

$150K - $300K/yr

PhD in Electrical Engineering, Computer Science, or a related field with a focus on signal processing. * A strong background in optimal and adaptive filter design (e.g., Wiener, Kalman), statistical ...

CX2

Signal Processing Engineer

El Segundo, CA

CX2 is seeking a highly skilled Signal Processing Engineer to join our growing team. The ideal ... PhD in Electrical Engineering, Computer Engineering, or related field * 5+ years' experience with ...

CX2

Signal Processing Engineer

El Segundo, CA

$140K - $190K/yr

CX2 is seeking a highly skilled Signal Processing Engineer to join our growing team. The ideal ... PhD in Electrical Engineering, Computer Engineering, or related field * 5+ years' experience with ...

CX2

Signal Processing Engineer

El Segundo, CA · On-site

$140K - $190K/yr

CX2 is seeking a highly skilled Signal Processing Engineer to join our growing team. The ideal ... PhD in Electrical Engineering, Computer Engineering, or related field * 5+ years' experience with ...

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Phd Signal Processing information

What are PhD Signal Processing professionals?

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 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 are the key skills and qualifications needed to thrive as a PhD Signal Processing specialist, and why are they important?

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 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.

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 June 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution.
Signal Processing Engineer

Signal Processing Engineer

Cypress HCM

Redwood City, CA

$150 - $190K/hr

Full-time

Medical, Dental, Vision

Posted 24 days ago

Job description


Signal Processing Engineer
Location: Belmont, CA (hybrid)
Employees: <50
Industry: Wireless services
Position Reporting To: Principal Engineer
Dynamic Bay Area startup is seeking a Signal Processing Engineer tasked with designing, optimizing, and implementing advanced signal processing techniques and location estimation algorithms. This work will help determine the real-time positioning of devices in dynamic environments.
Most Important Responsibilities:
  • Develop algorithms to extract highly accurate timing and spatial data from wireless signals in complex environments.
  • Implement algorithms to extract precise location and timing spatial information from wireless signals.
  • Create both physical and virtual test setups to assess system components and ensure their performance in controlled scenarios.
  • Acquire in-depth knowledge of operating principles and actively contribute to knowledge sharing within the team.
  • Document and prototype improvements to existing location estimation techniques and adapt them consistently allowing for industry improvements.
  • Continuously analyze and improve existing location estimation methodologies, adapting them to meet the latest industry trends and standards.
Required Experience and Skills:
  • PhD in Electrical Engineering, or equivalent research experience, specializing in wireless communications.
  • 3+ years of industry experience in location based wireless engineering.
  • Comprehensive knowledge of wireless communication systems and protocols, particularly those in the IEEE 802.11 series.
  • Expertise in wireless channel modeling and the effective use of Channel State Information (CSI).
  • Familiarity with key concepts like modulation schemes, coding techniques, spatial stream diversity, cyclic shift diversity, multipath interference, beamforming, and angle of arrival.
  • In-depth understanding of Time Difference of Arrival (TDoA) and other location-based techniques.
  • Solid grounding in time synchronization techniques and their practical applications.
  • Proficiency in Linux-based development environments and command-line tools.
  • Strong programming skills in Python, with hands-on experience using libraries such as NumPy.
  • Familiarity with version control, particularly GIT.
  • Adherence to best practices in software development, including modular design, interface abstraction, unit testing, and managing version compatibility.
Preferred Skills:
  • Knowledge of RF certification bodies and understanding of relevant regulatory standards.
  • Practical experience with RF hardware design or system interfacing.
  • Background in modeling uncertainty in complex systems.
  • C language programming skills.
  • Experience with adaptive filtering techniques.
  • Expertise with adaptive filtering techniques.
  • Expertise in modeling 3D wireless channels using ray tracing or similar advanced methods.
  • Advanced Python skills, including classes, asynchronous programming, and list comprehensions.
  • Experience with embedded systems or real-time programming environments.
  • Proficiency in MATLAB for simulation and modeling purposes.
Featured Benefits: Medical, Vision, Dental, Stock Options
Compensation: $150 – $190K + Stock Options
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About Cypress HCM

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We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2005

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