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Senior / Principal Analogue IC Design Engineer – Data Converters & Photonics Drivers

Engineering

Hybrid · Bangalore, IND

Senior

About the Role

This permanent, full-time Bangalore role supports hybrid, onsite, or remote work. The engineer will lead precision mixed-signal building blocks for photonics-enabled computing, including data converters, references, bias circuits, drivers, and subsystem integration. The work covers system architecture, transistor-level design, third-party IP integration, verification, and silicon characterization.

Responsibilities

  • Define mixed-signal architectures for photonic control and monitoring.
  • Design SAR and pipeline ADCs, current-steering and resistor-string DACs, bandgap references, current references, bias networks, and LDO regulators.
  • Develop heater drivers, current sources, monitoring circuits, and feedback systems for photonic actuators.
  • Integrate external converter, SerDes, PHY, and memory IP and verify subsystem interfaces.
  • Build analogue mixed-signal verification environments using Spectre and AMS Designer, with wreal or Verilog-A models.
  • Define test strategy and support silicon validation, production-test correlation, and performance analysis.

Required Experience and Skills

  • An MEng, MSc, or PhD in electronic engineering, electrical engineering, or a related discipline.
  • At least fifteen years of mixed-signal IC-design experience.
  • Proven ADC or DAC tape-out experience and expertise in precision references and bias circuits.
  • Experience with third-party IP integration, AMS verification, Cadence Virtuoso, Spectre, and Python or MATLAB.

Preferred Experience

Useful additional experience includes silicon-photonics components, calibration, trimming, temperature compensation, power-management architectures, and noise-isolated mixed-signal floorplans.

How to Apply

Send a CV and cover letter to recruitment@optalysys.com. The source does not state a numeric salary or closing date.

Company

Optalysys develops photonic computing technology for demanding AI, computing infrastructure, cybersecurity, and scientific workloads.

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