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Ethernovia

Automotive Ethernet system for autonomous safety

Lead Systems/DSP Engineer

Electrical EngineeringConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • A master's or PhD in Electrical Engineering or a related discipline.
  • At least 10 years of experience in digital signal processing (DSP) or system architecture for high-speed communication systems.
  • Deep expertise in digital communications theory, including advanced, efficient, and adaptive equalization and echo cancellation algorithms, clock and data recovery algorithms, phase-noise characterization and loop-dynamic analysis, channel modeling, and nonlinear effects.
  • Strong hands-on experience with MATLAB, Simulink, Python, and/or C++.
  • A solid understanding of mixed-signal design fundamentals, including analog-to-digital converter and digital-to-analog converter architectures, phase-locked loop behavior and phase-noise analysis, and channel and analog front-end modeling including non-idealities.
  • A proven track record of driving complex systems from concept to silicon.

Responsibilities

  • Define and own DSP/system architecture for high-speed transceivers, balancing power, performance, and silicon area.
  • Drive architectural decisions across DSP, analog front-end, and system partitioning.
  • Lead system-level trade-offs and provide technical direction across the organization.
  • Develop and maintain high-fidelity system models of complete transceivers using MATLAB, Simulink, Python, and/or C++.
  • Design, evaluate, and optimize advanced equalization techniques, including feed-forward equalization (FFE), decision-feedback equalization (DFE), and maximum-likelihood sequence detection (MLSD).
  • Architect robust clock and data recovery (CDR) solutions with a wide frequency acquisition range and very low phase noise.
  • Develop efficient echo-cancellation algorithms for full-duplex high-speed links, optimizing power and silicon area.
  • Design adaptive DSP algorithms with a strong focus on convergence rate, robustness, and implementation efficiency.
  • Develop channel models including nonlinear effects and complex noise sources.
  • Translate system-level requirements into block-level specifications for analog front end (AFE), analog-to-digital and digital-to-analog converters (ADC/DAC), phase-locked loop (PLL), DSP blocks, and other components.
  • Collaborate with analog, RTL, and physical design teams to ensure accurate and efficient implementation.
  • Ensure alignment between algorithm models and hardware realization.
  • Drive pre-silicon to post-silicon correlation to ensure models accurately predict silicon behavior.
  • Define and support silicon bring-up, characterization, and debugging.
  • Establish lab validation methodologies and support compliance testing and performance benchmarking.
  • Contribute to system-level bring-up and production ramp readiness.

Desired Qualifications

  • Experience designing high-speed IEEE 802.3 transceivers for automotive, robotics, and data center applications over optical and copper channels.
  • Prior technical leadership or mentoring experience.

About the Company

Ethernovia

Automotive Ethernet system for autonomous safety

Ethernovia builds a complete Ethernet network system for cars. It provides high-bandwidth, unified Ethernet hardware and software that fits into vehicles and follows industry safety standards, so car makers can meet the needs of future autonomous technology. The system is designed to be flexible and scalable, adapting as network requirements evolve, and it includes both the physical components and the software that manage and ensure safe operation. Ethernovia differentiates itself by offering an end-to-end, standards-based solution rather than just parts: a single architecture that combines hardware, software, and safety features, plus long-term services and maintenance for automotive customers. The company’s goal is to enable safe, reliable, and scalable in-vehicle networks that support autonomous driving and other advanced automotive functions.

Company size
51-200
Company stage
Series B
Total funding
$154M
Headquarters
San Jose, CA
Founded
2018

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