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Digital Signal Processing Dsp Jobs in California

Those designs come with impairments or nonlinear distortion that need to be clean up using digital signal processing (DSP) techniques. The optimization and calibration of those DSP techniques are the ...

Those designs come with impairments or nonlinear distortion that need to be clean up using digital signal processing (DSP) techniques. The optimization and calibration of those DSP techniques are the ...

DSP Software Engineer

San Carlos, CA ยท On-site

$167K - $214K/yr

Design, develop, and optimize real-time digital signal processing (DSP) algorithms for flight systems. * Implement high-performance software in C/C++ for embedded and real-time applications.

System Engineer, DSP

Los Gatos, CA ยท On-site

$166K - $195K/yr

Arycs Technologies is looking for a subject matter expert who will work closely with cross-functional teams, including the digital signal processing (DSP) ASIC and optical transceiver design teams to ...

DSP Software Engineer

San Carlos, CA ยท On-site

$167K - $214K/yr

Design, develop, and optimize real-time digital signal processing (DSP) algorithms for flight systems. * Implement high-performance software in C/C++ for embedded and real-time applications.

Showing results 21-40

Digital Signal Processing Dsp information

How hard is it to get into digital signal processing?

Getting into digital signal processing (DSP) as a profession typically requires a strong background in electrical engineering, computer science, or related fields, with knowledge of algorithms, mathematics, and programming languages like MATLAB or Python. Entry often involves obtaining a relevant degree and developing skills in signal analysis, filtering, and system design, with certifications or experience improving job prospects.

Is digital signal processing in demand?

Digital Signal Processing (DSP) is in high demand across industries such as telecommunications, audio and speech processing, and defense. DSP engineers are needed to develop algorithms, work with tools like MATLAB and C++, and often require specialized knowledge in signal analysis and hardware integration, making it a valuable skill set in the tech sector.

Does digital signal processing pay well?

Digital Signal Processing (DSP) engineers typically earn competitive salaries, especially with specialized skills in algorithms, programming, and hardware integration. Salaries vary by experience, location, and industry, but DSP roles are generally well-compensated within engineering fields.

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

AspectDigital Signal Processing DspSignal Processing Engineer
CredentialsDegree in Electrical Engineering, Computer Engineering, or related fields; certifications in DSP toolsSimilar degrees; often same certifications; focus on practical application
Work EnvironmentResearch labs, tech companies, manufacturing, embedded systemsDesign firms, telecom, audio/video industries, R&D
Industry UsagePrimarily in electronics, telecommunications, audio processingBroader applications including radar, biomedical, multimedia

Digital Signal Processing Dsp focuses on the algorithms and implementation of digital signals, while Signal Processing Engineer applies these principles across various industries. Both roles require similar skills and education, but DSP is more specialized in algorithm development, whereas Signal Processing Engineers often work on system integration and application development.

What job categories do people searching Digital Signal Processing Dsp jobs in California look for? The top searched job categories for Digital Signal Processing Dsp jobs in California are:
What cities in California are hiring for Digital Signal Processing Dsp jobs? Cities in California with the most Digital Signal Processing Dsp job openings:

Principal Hardware Engineer, DSP

Arycs Technologies, Inc.

Los Gatos, CA โ€ข On-site

$166K - $195K/yr

Full-time

Re-posted 24 days ago


Job description

About Arycs Technologies
At Arycs Technology, we believe AI infrastructure must scale within realistic power and integration limits. Our systems are engineered for deployment in real networks — not theoretical environments. We prioritize architectural efficiency over hardware multiplication, enabling capacity growth through technology innovation rather than system complexity. Performance and energy efficiency are not trade-offs; they are co-designed outcomes.
Headquartered in Los Gatos, California, with operations in Cleveland, Ohio and Maynard, Massachusetts, Arycs Technologies operates at the intersection of silicon photonics, coherent DSP, and scalable semiconductor manufacturing.
Our geographic presence supports both technology innovation and commercial execution, positioning Arycs Technologies as a key contributor to the advancement and broader adoption of coherent optical technologies.
About the Role As a Principal Hardware Engineer, Signal Processing, you will lead the design, analysis, and validation of advanced digital signal processing (DSP) algorithms and hardware architectures used in our next generation coherent and optical DSP‑enabled products. You will be responsible for developing DSP algorithmic models, optimizing signal chains, validating performance in hardware, and ensuring robust system behavior across diverse operating conditions.
This position plays a critical role in defining DSP requirements, guiding hardware implementation, and driving cross-functional design decisions that directly impact product performance and reliability. You will collaborate effectively with hardware, FPGA/ASIC, firmware, optical systems, and software engineering teams to deliver high‑performance, production‑ready DSP solutions.
Note: Optical domain experience is not required for this role, but exposure to optical communications or coherent optics is beneficial.
Responsibilities: DSP Development & Hardware Integration
• Architect, model, and simulate DSP algorithms for coherent and optical DSP systems.
• Define DSP hardware requirements and collaborate with ASIC/FPGA teams on implementation.
• Optimize DSP performance across noise, nonlinearity, phase impairments, and channel conditions.
• Develop end‑to‑end signal chains and system models (e.g., MATLAB, Python, C/C++).
• Validate DSP functional performance in lab hardware and system prototypes. System-Level Analysis & Validation
• Lead system bring‑up, characterization, and debug for DSP‑enabled hardware modules.
• Perform performance validation, stability testing, and corner‑case analysis.
• Develop automated test frameworks and analysis tools using Python for DSP verification.
• Collaborate with firmware teams to ensure correct hardware/DSP interaction. Troubleshooting & Root Cause Analysis
• Lead deep-dive investigations into complex signal impairments and system anomalies.
• Identify root-cause issues across the signal chain (DSP, hardware, firmware, or integration).
• Provide guidance to cross-functional teams during escalations and system debug cycles.
Product Development & Technical Leadership
• Contribute to product definitions, architecture reviews, and system requirement documents.
• Provide technical oversight across DSP design, hardware architecture, and system integration.
• Mentor junior engineers and provide direction when group coordination is required.
• Present findings, technical recommendations, and design tradeoffs to internal stakeholders.
Required Skills & Experience
• 10+ years of experience in DSP development, hardware signal processing, or related fields.
• Expertise in coherent DSP, optical DSP, or high-performance communication with DSP algorithms.
• Strong background in:
o Modulation/demodulation techniques o Equalization, FEC, timing recovery, phase recovery
o Adaptive filtering and MIMO processing
• Experience developing DSP simulations in MATLAB, Python, C/C++, or similar.
• Experience validating DSP behavior in hardware or FPGA/ASIC implementations.
• Strong understanding of high-speed communication systems; optical experience is a plus.
• Proven ability to lead complex system debug efforts and drive cross-functional collaboration.
• Excellent communication skills and the ability to clearly explain technical concepts.
Nice to Have
• Knowledge of coherent optics, fiber impairments, or optical communication systems.
• Experience with pluggable modules, OIF/MSA standards, or high‑speed SerDes.
• Familiarity with hardware lab equipment (oscilloscopes, analyzers, BERT, etc.).
this role is a hybrid role frequency of office time depends on team and needs #LI-hybrid

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