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Principal Lead DSP & Systems Architect — Ultra High-Speed SerDes


Job Location:

Milpitas, CA - USA

Monthly Salary: Not provided by the employer
Posted: 3 July 2026 (30+ days ago)
Application Deadline: 30 September 2026
Vacancies: 1 Vacancy

Job Summary

About the Company

Omni Design Technologies provides high-performance ultra-low power IP solutions across advanced CMOS nodes enabling differentiated SoC architectures for AI/ML accelerators hyperscale datacenter interconnects optical networks and next-generation wireline platforms. We partner with market leaders globally and are scaling rapidly and are seeking senior technical leadership to define the next generation of ultra high-speed SerDes IP at 448G and beyond.

Job Description

We are seeking a Principal / Lead DSP & Systems Architect to own the architectural direction of ultra high-speed SerDes platforms targeting 448G per lane and emerging post-448G standards spanning both electrical (chip-to-chip backplane copper cable) and optical (IM-DD and coherent) interfaces. This individual will drive end-to-end link architecture DSP algorithm design and ADC/DAC-based transceiver partitioning serving as the primary technical interface with strategic customers and standards bodies.

The ideal candidate combines deep expertise in high-speed link theory advanced equalization and FEC PAM/multi-level and coherent signaling and hardware-aware DSP implementation with a track record of delivering SerDes IP into silicon at the bleeding edge of the wireline and optical roadmap.

Key Responsibilities

Architecture & Roadmap: Define DSP and system architecture for 448G and post-448G SerDes IP across electrical and optical interfaces including ADC/DAC-based transceiver partitioning modulation choice (PAM4/PAM6 IM-DD coherent) and FEC strategy and shape long-term roadmap toward 1.6T and 3.2T link aggregates.

Customer & Standards Engagement: Lead technical engagement with hyperscale AI accelerator and optical module customers; represent the company in OIF CEI IEEE 802.3 and related standards activities.

End-to-End Link Modeling: Build and maintain MATLAB/Python models of the full link across electrical and optical media: channel response (backplane copper cable chip-to-chip fiber) TX/RX impairments jitter (RJ/DJ/BUJ) crosstalk reflections optical impairments (CD PMD laser phase noise optical SNR) ADC/DAC quantization and FEC performance under realistic BER/FLR targets.

DSP Algorithm Architecture: Own the DSP pipeline across electrical and optical paths FFE DFE MLSE/MLSD CTLE-DSP partitioning adaptive equalization (LMS sign-sign LMS blind adaptation) timing recovery and CDR baseline wander correction IQ/skew calibration PAM demapping and integration with KP4 / concatenated / soft-decision FEC. For optical links additionally drive chromatic dispersion (CD) compensation polarization demultiplexing carrier phase and frequency recovery and nonlinear compensation.

Mixed-Signal Co-Design: Drive ADC/DAC architectural decisions sample rate resolution (ENOB) time-interleaving calibration strategy and align analog front-end CTLE and clocking specs with DSP performance budgets.

Fixed-Point & Implementation Trade-offs: Drive wordlength optimization parallelism and pipelining strategies for multi-hundred-GSps datapaths and float-to-fixed methodology to balance BER performance area and pJ/bit power efficiency.

Specifications & Cross-Domain Integration: Generate block-level specs for DSP datapaths FEC calibration ADC/DAC AFE and clocking; align decisions across digital mixed-signal packaging and SI/PI domains.

DSP-to-RTL Handoff: Translate DSP reference models into hardware-friendly architectures with bit-true/cycle-accurate alignment and partner with RTL and verification teams on micro-architecture latency and memory trade-offs.

Silicon Bring-up & Validation: Partner with validation and lab teams to correlate post-silicon BER eye and link-training results with modeled assumptions; define KPIs (BER FLR link margin power latency) and debug methodologies.

Mentorship & Thought Leadership: Guide DSP systems and hardware engineers; develop reusable models and best practices; contribute to architecture reviews IP innovation strategy and customer-facing technical engagements.

Qualifications
  • Graduate degree in EE Communications or Signal Processing; PhD strongly preferred.
  • 10 years in high-speed SerDes or wireline/optical link DSP/systems architecture with direct exposure to 112G/224G silicon and a clear path into 448G and beyond across electrical and optical interfaces.
  • Proven ownership of end-to-end link budgets with cascaded impairment analysis across channel (electrical and/or optical) AFE ADC/DAC DSP and FEC.
  • Deep expertise in: PAM4/PAM6 and coherent wireline/optical signaling; advanced equalization (FFE DFE MLSE/MLSD Tomlinson-Harashima); optical DSP (CD/PMD compensation polarization recovery carrier phase/frequency recovery) for candidates with optical exposure; adaptive algorithms and link training; KP4 and soft-decision FEC; high-speed ADC/DAC architectures (time-interleaved calibration ENOB-driven design); CDR and timing recovery at multi-hundred-Gbaud rates; jitter/crosstalk/SI and optical impairment modeling; fixed-point DSP and bit-true modeling; MATLAB/Python link simulation; DSP-to-RTL methodology.
  • Familiarity with OIF CEI (CEI-224G CEI-448G) IEEE 802.3 high-speed Ethernet and relevant optical standards (e.g. OIF coherent agreements IEEE 802.3 optical PHYs).
  • Track record of defining specs consumed by RTL DSP mixed-signal verification and validation teams.
  • Strong communication skills with VP- and CTO-level stakeholders at hyperscale and module customers.
What We Offer
  • Highly competitive compensation performance incentives and substantial technical influence.
  • Direct ownership of DSP and systems architecture for SerDes IP at the bleeding edge of the wireline and optical roadmap.
  • Strategic relationships with top-tier hyperscale AI and optical customers.
  • A technical culture that values rigor clarity and architectural craftsmanship.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Staff IC


About Company

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We are a leading provider of high-performance, ultra low power data converter IP for semiconductor applications in 5G, AI, LiDAR, and more.

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