Field Application Engineer (Integrated Photonics + Equity) at AI-powered hardware company

TechTree; Toronto; On-site; CAD 150,000 - 250,000; Full time

Benefits offered by this job

Equity options

Conference attendance

Job summary

TechTree is seeking a Field Application Engineer to bridge photonic engineering, scientific AI, and customer deployment. You will own the technical relationship with PIC designers, EDA vendors, and foundry partners, translating complex real-world engineering challenges into structured, AI-assisted workflows that ship and scale.

You'll architect AI-enabled workflows for photonic design and verification, collaborate across toolchains, and help drive the product roadmap with customer feedback,

Qualifications

• Advanced degree in photonics or related engineering field.
• 5+ years of photonic product development experience.
• Experience with simulation/EDA tools such as COMSOL, Ansys, RSoft, Cadence Virtuoso, Synopsys OptoCompiler, Luceda IPKISS or similar.
• Experience with high‑speed modulators or photodiodes.
• Track record partnering with EDA vendors or photonic foundries to deliver solutions.
• Excellent communication with device engineers, engineering managers, and enterprise stakeholders.

Responsibilities

• Architect AI‑assisted workflows for photonic design, verification, and yield improvement.
• Translate complex engineering processes into verifiable, physics‑grounded workflows.
• Identify bottlenecks and deliver solutions integrated with EDA tools and PDK ecosystems.
• Build models that improve design confidence and accelerate iteration across process corners.
• Contribute insights to platform capabilities and product roadmap.

Skills

Strong communication

Photonic product development

Problem solving

Education

MSc or PhD in integrated photonics, electrical or telecommunications engineering, or related field

Tools

COMSOL

Ansys

RSoft

Cadence Virtuoso

Synopsys OptoCompiler

Luceda IPKISS

Job description

About The Role

Field Application Engineer to sit at the intersection of photonic engineering, scientific AI, and customer deployment. Own the technical relationship with PIC designers, EDA vendors, and foundry partners, translating complex real‑world engineering challenges into structured, AI‑assisted workflows that ship and scale.

What You'll Be Doing

• Architect AI‑assisted workflows for photonic design, verification, and yield improvement — enabling customer teams to move faster without compromising manufacturability.
• Translate complex engineering processes (simulation setup, compact modelling, variability analysis, layout‑aware optimisation, measurement interpretation) into verifiable, physics‑grounded workflows.
• Identify high‑value bottlenecks and deliver solutions that integrate with existing EDA tools, simulation environments, and PDK ecosystems.
• Build models that improve design confidence and accelerate iteration across process corners and fabrication variability.
• Feed customer learnings directly back into platform capabilities and product roadmap.

What We're Looking For

• MSc or PhD in integrated photonics, electrical or telecommunications engineering, or related field.
• 5+ years in photonic product development; market deployment experience highly valued.
• Hands‑on with simulation and EDA tools (COMSOL, Ansys, RSoft, Cadence Virtuoso, Synopsys OptoCompiler, Luceda IPKISS, or similar).
• Experience with advanced component design — high‑speed modulators or photodiodes.
• Track record working with EDA vendors or photonic foundries to deliver technical solutions.
• Excellent communicator — equally comfortable with device engineers, engineering managers, and enterprise stakeholders.

Compensation & Benefits

• $150,000 – $250,000 depending on experience.
• Equity (stock options).
• Access to cutting‑edge AI, physics, and EDA tooling.
• Direct collaboration with leading experts at the intersection of AI and hardware.
• Conference attendance, research engagement, and professional development.

About The Company

This company is building a new class of AI systems designed to reason with the rigor of the scientific method — combining deep learning with formal logic and physics‑based modelling to create verifiable, interpretable AI that accelerates real engineering workflows. Their mission: a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030.