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Photonics Specialist

VIAVI Solutions · Singapore

Singapore · On-siteFull-TimePosted Apr 8, 2026

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Job description

Summary: VIAVI Solutions is seeking a highly creative and hands-on Photonics Specialist to join the CTO Innovation Center in Singapore. This role involves leading fast prototyping and validation of next-generation solutions in optical, photonic, AI-assisted, and high-speed connectivity test technologies, and collaborating with global R&D teams to define the future of test & measurement. Key innovation domains include silicon photonics, co-packaged optics (CPO), DCI/optical interconnects, all-photonic networks, 6G-ready optical test architectures, and AI-automated intelligent test solutions.

Duties & Responsibilities:

Job Description:

VIAVI Solutions is seeking a highly creative and hands-on Photonics Specialist to join the CTO Innovation Center in Singapore. This role involves leading fast prototyping and validation of next-generation solutions in optical, photonic, AI-assisted, and high-speed connectivity test technologies, and collaborating with global R&D teams to define the future of test & measurement. Key innovation domains include silicon photonics, co-packaged optics (CPO), DCI/optical interconnects, all-photonic networks, 6G-ready optical test architectures, and AI-automated intelligent test solutions.

Key Responsibilities

  1. Rapid Photonic Prototyping
  • Lead the optical communication technology including designing and building prototypes for test solutions for silicon photonics, CPO, optical transceivers, DCI testing, and next-generation photonic test platforms.

  • Conduct feasibility studies, system bring-up, optical characterization, and performance validation.

  1. AI-Automated Test Development
  • Lead the development of AI-assisted testing workflows for photonic and high-speed optical systems.

  • Build intelligent test routines using machine learning for calibration, optimization, anomaly detection, and root-cause analysis.

  • Explore autonomous test benches, reinforcement-learning-based test strategies, or digital-twin-driven optical test automation.

  • Prototype AI-driven decision engines that accelerate test throughput and improve measurement accuracy.

  1. System Architecture & Concept Innovation
  • Lead the future test architectures definition that combines photonics, software, and AI automation.

  • Investigate new measurement techniques, optical front-ends, and integrated AI signal processing.

  • Translate early-stage concepts into recommendations for product roadmaps and R&D planning.

  1. Collaboration & External Engagement
  • Work closely with global VIAVI R&D teams to transition successful prototypes to product development.

  • Support internal demos, technology showcases, and cross-organization innovation initiatives.

  • Thought leadership with engagement in related photonics standardization bodies and forums

Pre-Requisites / Skills / Experience Requirements:

Qualifications

Required

  • Master’s degree or Ph.D. in Electrical Engineering, Optics/Photonics, Physics, Computer Engineering, or related fields.

  • Knowledge of high-speed optical transmission (100G/400G/800G/1.6T) and advanced modulation formats.

  • Strong hands-on skills with optical instruments (OSA, BERT, AWG, DSO, optical power meters, spectrum analyzers, etc.).

  • Experience with silicon photonics, optical transceivers, DCI systems, CPO, or photonic component testing.

  • Proficiency in Python or MATLAB for data analysis, automation, and prototyping.

  • Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn) for basic AI prototyping.

  • Strong experimental mindset and passion for fast iterative prototyping.

  • Good communicator, willing to travel

Preferred

  • Experience building automated test systems, AI-assisted measurement workflows, or optical digital twins.

  • Background in photonic packaging, alignment automation, or high-precision optical setups.

  • Experience developing ML models for classification, optimization, anomaly detection, or reinforcement learning for control systems.

  • Experience working in innovation labs or early-stage technology concepting roles.

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