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Phd Signal Processing Jobs in California (NOW HIRING)

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Phd Signal Processing information

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or certain executive roles can earn $500,000 or more annually. These positions often require advanced skills, leadership responsibilities, and work in high-demand industries or companies with competitive compensation packages.

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 can I do with a PhD in radiology?

A PhD in radiology prepares individuals for research, development, and academic roles focused on medical imaging technologies such as MRI, CT, and ultrasound. Graduates often work in universities, research institutions, or industry settings, utilizing skills in signal processing, image analysis, and data interpretation to advance diagnostic methods and imaging software. Additional certifications or collaborations with clinical professionals may be required for clinical applications.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, where expertise in algorithms, data analysis, and software tools like MATLAB or Python is valued. Professionals with a PhD in signal processing are often sought for research, development, and advanced system design roles, especially in areas like sensor data analysis and machine learning integration.

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.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a fundamental skill for signal processing professionals, including those with a PhD in the field. While AI and machine learning techniques are increasingly integrated into signal analysis, they complement rather than replace traditional DSP methods, which remain essential for real-time processing and system design. Signal processing roles often require expertise in both DSP algorithms and AI tools to develop advanced solutions.
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:
Infographic showing various Phd Signal Processing job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
AI Engineer (Computer Vision/Signal Processing)

AI Engineer (Computer Vision/Signal Processing)

KLA Corporation

Milpitas, CA • On-site

$136K - $231K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The RAPID division is the world leading provider of reticle inspection solutions for the semiconductor industry. The company provides inspection solutions to both the mask shops and the semiconductor fabs to ensure that lithography yields are consistently high thus enabling cost-effective manufacturing.

Job Description/Preferred Qualifications


KLA is seeking a motivated AI Engineer with a growth mindset to join a world-class algorithm group within the Reticle And Photomask Inspection Division (RAPID)! In this role, you will design and develop deep learning models blended with classical methods (e.g., physics-based modeling or signal processing) to advance KLA's innovative inspection platforms.


Key Responsibilities

Deep Learning & Computer Vision

  • Design, train, and deploy deep learning models for image understanding tasks such as image translation, segmentation, anomaly detection, and defect analysis on inspection systems
  • Abstract specific tasks into generalized mathematical problems and devise customized models and algorithmic solutions
  • Curate and manage datasets; establish rigorous training, validation, and evaluation pipelines

Innovation and Execution

  • Drive innovation by proposing novel approaches and delivering production-quality, maintainable code
  • Identify technical bottlenecks and balance model sophistication against computational complexity through comprehensive data analysis
  • Improve model accuracy; optimize models for inference throughput, including GPU-accelerated and high-performance computing

Cross-functional Collaboration

  • Collaborate directly with other teams to co-optimize algorithms along with other sub-systems for best overall system design
  • Work with field teams and customers to support model deployments and ensure seamless integration of AI solutions to inspection systems at customer sites, including occasional international travel


Preferred Qualifications & Attributes

  • PhD or MS in Applied Mathematics, Computer Science, Electrical Engineering, or a related field
  • Significant experience in deep learning, especially for computer vision and image understanding
  • Proficiency with modern deep learning frameworks (e.g., PyTorch or TensorFlow) and Python
  • Experience in C++ production software development and object-oriented programming


Desired Expertise

  • Scientific computing, signal processing, numerical optimization, and computational geometry
  • Modeling of imaging systems (electron-beam or optical)
  • Knowledge of semiconductor manufacturing and process control is a plus

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

Base Pay Range: $136,300.00 - $231,700.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us attalent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.