Field Application Engineer (Integrated Photonics)

TL;DR

Field Application Engineer (Integrated Photonics): Architecting AI-assisted workflows for photonic design, verification, and yield improvement with an accent on combining physics-based modeling with AI reasoning. Focus on integrating AI-native tools into real engineering environments and solving bottlenecks in the PIC development lifecycle.

Location: Hybrid in Boston (US) or Toronto (Canada), Remote in Singapore

Company

hirify.global is building verifiable and interpretable AI systems to accelerate semiconductor and photonic hardware development.

What you will do

• Architect AI-assisted workflows for photonic design, verification, and yield improvement on the Axiomatic Intelligence platform.
• Translate complex photonic engineering processes into verifiable workflows combining physics-based methods with AI reasoning systems.
• Partner with customer engineering teams to identify bottlenecks and integrate solutions with existing EDA tools and PDK ecosystems.
• Build physics-grounded and measurement-enriched models to improve design confidence and accelerate iteration cycles.
• Collaborate with internal technology and product teams to convert customer-driven prototypes into scalable platform features.

Requirements

• MSc or PhD in integrated photonics, electrical, or telecommunications engineering.
• Minimum 5 years of experience in photonic product development, preferably reaching market deployment.
• Proficiency with COMSOL, Ansys, RSoft, Cadence Virtuoso, Synopsys OptoCompiler, or Luceda IPKISS.
• Experience with advanced component design (high-speed modulators, photodiodes) and multi-objective co-design.
• Experience working directly with EDA vendors or photonic foundries to deliver technical solutions.
• Strong written and verbal communication skills for interacting with enterprise stakeholders.

Nice to have

• Hands-on experience with modern AI tools, including LLMs, APIs, and agentic systems.
• Programming experience in Python for scientific computing and API integration.
• Familiarity with cloud infrastructure, APIs, and HPC or cluster-based compute environments.
• Experience working with research teams or R&D organizations on production software.

Culture & Benefits

• Competitive compensation and a Stock Options Plan.
• Access to state-of-the-art tools and collaboration with experts in AI, physics, and EDA.
• Opportunities for professional growth, including industry conferences and research presentations.
• Impact-driven culture focused on solving challenging problems at the intersection of AI and hardware.