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Digital Signal Processing Jobs in Berkeley, CA (NOW HIRING)

Sensing Systems Engineer

San Francisco, CA ยท On-site

$175K - $280K/yr

Proficiency in Digital Signal Processing (DSP) techniques: filtering, windowing, feature extraction, and sensor fusion. Expert in Python for signal processing, data visualization, and algorithm ...

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Digital Signal Processing information

See Berkeley, CA salary details

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$57

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How much do digital signal processing jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for digital signal processing in Berkeley, CA is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $31.20 and $75.05 per hour, depending on experience, location, and employer.

What kind of projects or problems do digital signal processing professionals typically work on?

Digital Signal Processing professionals are often involved in projects such as designing audio and image processing systems, developing communications protocols, and optimizing algorithms for real-time data analysis. Their daily responsibilities might include modeling signals, simulating and testing algorithms, and working with cross-functional teams to integrate DSP solutions into products like medical devices, consumer electronics, or telecommunications equipment. Team collaboration is common, especially when working with hardware and software engineers to ensure seamless system integration. This dynamic role offers the chance to solve challenging technical problems and continually learn new technologies, making it ideal for those who enjoy innovation and hands-on problem-solving.

What is digital signal processing?

A Digital Signal Processing (DSP) job involves designing, developing, and optimizing algorithms that manipulate digital signals, such as audio, image, or sensor data. Professionals in this field work with mathematical models and programming languages like MATLAB, Python, or C/C++ to filter, compress, and analyze signals. DSP engineers are commonly employed in industries like telecommunications, biomedical engineering, audio processing, and defense. Their role may include hardware implementation, software development, and real-time signal processing. Strong analytical skills and a background in mathematics and engineering are essential for success in this field.

What are the key skills and qualifications needed to thrive in digital signal processing, and why are they important?

To thrive in Digital Signal Processing (DSP), you need a strong background in mathematics, signal processing theory, and programming, often supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, LabVIEW, and DSP hardware platforms is highly valuable, and certifications in DSP or embedded systems can enhance your profile. Excellent problem-solving skills, teamwork, and the ability to communicate complex technical information clearly are crucial soft skills. These abilities are essential for developing, optimizing, and implementing signal processing algorithms that address real-world engineering challenges.

What job categories do people searching Digital Signal Processing jobs in Berkeley, CA look for? The top searched job categories for Digital Signal Processing jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Digital Signal Processing jobs? Cities near Berkeley, CA with the most Digital Signal Processing job openings:
Infographic showing various Digital Signal Processing job openings in Berkeley, CA as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $120,328 per year, or $57.9 per hour.

Staff Electrical Engineer - FPGA / MPSoC Systems & Digital Signal Processing

SirenOpt

San Leandro, CA โ€ข On-site

Full-time

Re-posted 27 days ago


Job description

Role Overview

SirenOpt is looking for a Staff Electrical Engineer - FPGA / MPSoC & Digital Signal Processing Systems to lead the architecture, design, implementation, and validation of high-performance programmable logic, embedded processing, and FPGA-based digital signal processing systems powering our next-generation metrology platform.

This is a hands-on, high-impact role for someone who enjoys working close to the technology, solving hard problems quickly, and helping shape products in an early-stage startup environment.

This role is ideal for an engineer who is energized by deep tech, thrives in cross-functional environments, and is motivated by the opportunity to build something genuinely new.

You will work closely with a small, highly capable team to turn advanced sensing, digital signal processing, and control concepts into robust, high-performance, field-ready systems.

What You'll Do

  • Lead the architecture, design, implementation, and validation of FPGA, MPSoC, and FPGA-based digital signal processing systems for SirenOpt's metrology platform.
  • Develop designs from concept through architecture definition, RTL development, modeling, simulation, verification, testbench development, bench testing, and system bring-up.
  • Build and maintain robust simulation and verification environments to validate functionality, timing, performance, and reliability at both block and system levels.
  • Design and implement FPGA-based digital signal processing pipelines for real-time sensing and metrology applications, including FIR filters, synchronization pipelines, control loops, and low-latency data paths.
  • Implement, evaluate, and refine signal-processing and control algorithms such as PID, ADPLL, filtering, and signal-conditioning methods for high-performance measurement systems.
  • Use MATLAB and Python for algorithm development, modeling, data analysis, system validation, and signal and electrical data characterization.
  • Perform large-scale data analysis to evaluate signal quality, characterize system behavior, and guide design tradeoffs and performance optimization.
  • Collaborate closely with hardware, electrical, software, algorithm, and systems engineers to support end-to-end FPGA, MPSoC, firmware, and hardware integration.
  • Read and interpret schematics to understand board-level architecture, interfaces, signal paths, power domains, and subsystem dependencies.
  • Bring up new boards in the lab, troubleshoot issues independently, and debug hardware/firmware interactions using oscilloscopes, logic analyzers, signal generators, power supplies, and related lab equipment.
  • Help translate frontier R&D concepts into scalable, reliable, and manufacturable digital systems.

What We're Looking For

  • B.S., M.S., or PhD in Electrical Engineering, Computer Engineering, or a related field, with 5+ years of relevant industry experience.
  • Strong experience with end-to-end FPGA and MPSoC design, including architecture, RTL development, simulation, synthesis, timing closure, verification, and board bring-up.
  • Advanced experience with FPGA-based digital signal processing for real-time systems, including FIR filters, synchronization methods, streaming pipelines, and control-oriented digital design.
  • Strong experience with algorithm modeling and analysis using MATLAB and Python.
  • Experience implementing and validating signal-processing and control techniques such as PID, ADPLL, filtering, and signal characterization workflows.
  • Strong command of HDL/RTL implementation for digital signal processing, control, and high-performance data-path design.
  • Hands-on experience developing testbenches, verification environments, and bench-level validation workflows.
  • Strong understanding of firmware/hardware integration and system-level debugging in tightly coupled digital platforms.
  • Ability to read and understand electrical schematics and work effectively at the board and subsystem level.
  • Proven experience troubleshooting and bringing up hardware in the lab using standard electrical test equipment.
  • Experience working in a fast-moving, multidisciplinary environment with a high degree of ownership and technical independence.
  • Strong communication skills and a practical, problem-solving mindset.

Nice to Have

  • Experience providing technical leadership for hardware and firmware engineering teams in complex product development environments.
  • Experience with image processing or vision-related algorithm pipelines.
  • PCB design experience, including familiarity with board-level layout considerations and signal integrity tradeoffs.
  • Experience with high-speed interfaces, instrumentation systems, or real-time sensing platforms.
  • Familiarity with mixed-signal systems and integration with ADCs, DACs, sensors, and embedded processors.
  • Exposure to metrology systems, scientific instrumentation, or advanced materials applications.

Why Join SirenOpt

  • Help define a new category in advanced materials metrology.
  • Work on genuinely novel deep-tech hardware with real scientific and industrial impact.
  • Join an early-stage team where your decisions directly shape the product, technology, and company.
  • Build systems at the intersection of plasma science, electronics, sensing, AI-driven analytics, programmable logic, and advanced digital signal processing.
  • Contribute to technology that can expand what researchers and industry teams are able to see, measure, and optimize.

Actual compensation within the pay range listed will be decided based on factors including skills and prior relevant experience.