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Axiomatic_AI

Field Application Engineer - Integrated Photonics

Solution EngineeringUpdated on Nov 10
Full-time

About the Job

Requirements

  • A Master of Science or PhD in a science or engineering field, such as integrated photonics, electrical engineering, or telecommunications engineering.
  • At least 5 years of experience in photonic product development; market-deployment experience is highly valued.
  • Experience with COMSOL, Ansys, RSoft, Cadence Virtuoso, Synopsys OptoCompiler, Luceda IPKISS, or similar tools.
  • Experience with advanced component design, high-speed modulators, or photodiodes.
  • Experience working directly with EDA vendors or photonic foundries to deliver detailed technical solutions.
  • Experience with multi-objective co-design.
  • Strong written and verbal communication and the ability to listen effectively and work directly with engineers, engineering managers, and enterprise stakeholders.

Responsibilities

  • Architect AI-assisted workflows for photonic design, verification, and yield improvement on the Axiomatic Intelligence platform, enabling customer engineering teams to accelerate development while maintaining technical rigor and manufacturability.
  • Translate photonic engineering processes—including simulation setup, compact modeling, variability analysis, layout-aware optimization, and measurement interpretation—into verifiable workflows combining physics-based methods with Axiomatic-native reasoning systems.
  • Work directly with customer engineering teams to identify high-value bottlenecks and deliver deployable solutions integrated with existing EDA tools, simulation environments, PDK ecosystems, and engineering practices.
  • Build physics-grounded and measurement-enriched models that improve design confidence, accelerate iteration cycles, and enable scalable analysis across process corners and fabrication variability.
  • Collaborate with technology, infrastructure, and product teams to turn customer-driven prototypes and technical insights into reusable platform capabilities and scalable product features.

Desired Qualifications

  • Hands-on experience with modern AI tools, including large language models, APIs, agentic systems, and orchestration frameworks.
  • Ability to design solutions connecting device-level physics, circuit-level constraints, and system-level automation.
  • Programming experience, primarily in Python, including scientific computing, workflow orchestration, and API integration.
  • Familiarity with cloud infrastructure, APIs, and deployment workflows.
  • Familiarity with enterprise deployment models, including cloud, hybrid, and on-premises, and with HPC or cluster-based compute environments.
  • Experience working with research teams, applied scientists, or R&D organizations on production software.

About the Company

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