Sr. Principal DSP Architect (Optical Transceivers & PAM4)

Role Overview As a Sr. Principal DSP Architect, you will be the technical visionary leading the definition and development of next-generation Digital Signal Processing (DSP) architectures. Your focus will be on high-speed PAM4 (Pulse Amplitude Modulation 4-level) systems and coherent/direct-detect optical transceivers. You will bridge the gap between theoretical communications theory and silicon implementation, driving the roadmap for 800G, 1.6T, and beyond.

Key Responsibilities

• Architectural Leadership: Lead the definition of DSP micro-architecture for high-performance ASICs, focusing on low-power, high-throughput data paths.
• Algorithm Development: Design, model, and simulate advanced DSP algorithms for:
• Adaptive Equalization (FFE, DFE, MLSE).
• Forward Error Correction (FEC).
• Clock and Data Recovery (CDR).
• Chromatic Dispersion (CD) and Polarization Mode Dispersion (PMD) compensation.
• Modeling & Simulation: Develop bit-accurate and performance-accurate models using Python, MATLAB, or C++ to validate architectural choices against Bit Error Rate (BER) targets.
• Cross-Functional Collaboration: Work closely with Analog Mixed-Signal (AMS) designers to optimize the ADC/DAC interface and with RTL teams to ensure power-efficient hardware implementation.
• Performance Trade-offs: Conduct rigorous Power, Performance, and Area (PPA) analysis to balance complex DSP requirements with the thermal and size constraints of optical modules (e.g., QSFP-DD, OSFP).
• Standards Contribution: Represent the company in industry standards bodies (IEEE 802.3, OIF) to influence future optical communications protocols.

Required Qualifications

• Education: PhD or MS in Electrical Engineering, Communication Theory, or a related field.
• Experience: 12+ years of experience in DSP design, specifically for high-speed SerDes or optical communications.

Technical Deep Dive:

• Expertise in PAM4 signaling and the associated challenges (non-linearity, SNR requirements).
• Deep understanding of Digital Filter Design (FIR, IIR) and adaptive signal processing.
• Experience with high-speed ADC/DAC architectures and their impact on DSP performance.
• Tooling: Proficiency in MATLAB/Simulink, Python (NumPy/SciPy), and SystemC.
• Silicon Success: A proven track record of taking complex DSP architectures from concept through tape-out to high-volume production.

Preferred Skills

• Experience with Coherent Optical technologies (QAM, polarization multiplexing).
• Knowledge of Machine Learning applications in DSP for non-linearity compensation.
• Familiarity with hardware description languages (Verilog/SystemVerilog) and the synthesis flow