R&d Engineer

Company Description

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Job Description

The next era of intelligent systems will require entirely new approaches to photonic device design, optical architectures, simulation, and system integration. Solving these problems demands deep physical intuition, advanced computational modeling, and the ability to bridge simulation with experimental reality.

We are looking for a Principal R&D Engineer to lead advanced optical design and computational photonics development for next-generation semiconductor and photonic systems.

This role combines:

• optical simulation,
• inverse design,
• electro-thermal modeling,
• computational optimization,
• experimental interpretation,
• and system-level co-development.

You will define and drive the optical architecture behind advanced device platforms and work across multidisciplinary teams spanning device physics, packaging, process development, characterization, and system integration.

What you’ll be doing:

• Lead advanced optical and multiphysics simulation activities for next-generation photonic systems.
• Develop inverse-design and optimization methodologies for complex optical structures.
• Build scalable computational frameworks spanning optics, thermal, and electrical domains.
• Drive architecture-level tradeoff studies and system-level optical design decisions.
• Collaborate closely with characterization teams to correlate simulations with experimental measurements.
• Support co-development between devices, packaging, thermal systems, and photonic integration platforms.
• Develop reduced-order analytical models alongside full numerical simulation workflows.
• Mentor engineers and provide technical leadership across optical design and simulation activities.
• Help define future AI-assisted computational photonics workflows and design infrastructure.

Qualifications