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DSP System Architect

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Credo Semiconductor, Inc.
Full Time position
Listed on 2026-01-06
Job specializations:
  • Engineering
    Systems Engineer, Electronics Engineer
Job Description & How to Apply Below

DSP System Architect

We are seeking a DSP System Architect to optimize digital signal processing (DSP) architectures for high-speed Ser Des (Serializer/Deserializer) transceivers. This role defines system-level architecture, algorithms, and performance needs. The architect will work closely with cross-functional teams to debug, analyze data and bring Ser Des solutions to market.

Responsibilities
  • Collaborate with analog, digital, and mixed-signal design teams to implement DSP solutions.
  • Collaborate with application and firmware teams to participate in silicon bring-up and debugging by analyzing data and providing guidance on test plans for lab characterization and verification.
  • Assist customers on system-level performance and algorithmic issues.
  • Define and design DSP architectures for high-speed Ser Des and optical transceivers.
  • Develop and maintain end-to-end system models using tools like MATLAB, Simulink, C, and/or Python.
  • Design and simulate DSP algorithms for signal processing in high-speed links, including equalization, timing recovery, and error correction (FEC).
  • Perform research and development activities to advance DSP for Ser Des and optical channels.
  • Develop and perform behavioral modeling of mixed-signal circuit designs for transceivers.
Qualifications
  • Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related field.
  • 0-7+ years of experience in DSP system architecture and algorithm development for high-speed Ser Des or communication systems.
  • Understanding of digital communication and signal processing theory, including:
  • Channel equalization techniques (e.g., FFE, DFE)
  • Timing recovery and CDR (Clock and Data Recovery) architectures
  • Detection and estimation theory
  • Adaptive algorithms and system identification
  • Proficiency in communication system modeling using tools like MATLAB, Simulink, C, and/or Python.
  • Experience with high-speed serial data protocols (e.g., NRZ, PAM4) and relevant industry standards.
  • Familiarity with mixed-signal circuit design concepts and their impact on DSP performance.
  • Experience in guiding and testing the transfer of algorithms from high-level models to RTL implementation.
  • Communication, problem-solving, and collaboration skills.
Preferred Skills
  • Experience with advanced modulation formats (e.g., PAM4).
  • Experience with ADC-based wireline transceivers and/or coherent DSP architectures.
  • Familiarity with FEC (Forward Error Correction) techniques, such as RS or LDPC codes.
  • Familiarity with lab equipment for testing high-speed serial links (e.g., oscilloscopes, spectrum analyzers).
  • Experience with machine learning concepts and their application in DSP.
  • Knowledge of analog mixed-signal circuit design concepts.
  • Experience in firmware or embedded software development.
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