Overview

R&D Engineering, Staff Engineer Jobs in Vancouver, Canada at Synopsys Inc

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

You have spent years working at the boundary where Maxwell’s equations meet real software, and you know that getting electromagnetic simulation right means understanding both the physics and the code that brings it to life. The difference between a simulation that converges cleanly and one that fails three hours in often comes down to a numerical choice you made last week, and you are the kind of engineer who sees that choice coming.

Working in C++ performance code does not intimidate you, and neither does debugging a Python workflow that ties together five different simulation steps. You have built or worked deeply inside solvers, maybe FDTD, DGTD, RCWA, or something similar, and you understand what happens under the hood when a user clicks “run.” You do not need a perfect spec to start.

You ask the right questions, dig into the codebase, and figure out what needs to happen next. Photonics is not abstract to you. Whether it is optimizing a grating coupler or validating inverse design output, you know what matters at micron scale and you care about getting it right. At Synopsys, you will work on simulation technology that powers the tools our customers depend on to design the next generation of photonic devices.

What

You’ll Be Doing

  • Develop and enhance computational photonics software that supports design automation and simulation tools used by customers designing photonic devices
  • Build, debug, and validate Maxwell-based simulation methods including DGTD, FDTD, RCWA, STACK, or related electromagnetic solvers at micron scale
  • Implement and improve simulation algorithms in C++ for performance-critical solver code and Python for automation and workflow orchestration
  • Support photonic design optimization workflows, including inverse design methodologies, that help customers achieve faster, more accurate design outcomes
  • Work inside an existing R&D codebase to extend capabilities, fix technical issues, and improve simulation accuracy and speed
  • Collaborate with R&D engineers across the team to design, test, and deliver technical solutions that directly impact product performance
  • Investigate complex simulation failures, trace root causes through physics and code, and deliver reliable fixes that hold up in production

The Impact You Will Have

  • Your work will directly improve the speed and accuracy of simulation tools that photonics designers rely on to bring devices from concept to production
  • The solver improvements and numerical methods you build will enable customers to design better performing photonic components with fewer iterations
  • Your contributions to inverse design and optimization workflows will unlock new design possibilities that were previously too slow or too complex to explore
  • The bugs you catch and the fixes you deliver will prevent downstream failures for customers running critical simulations on tight schedules
  • Your ability to balance scientific rigor with practical software development will help the team ship capabilities that matter, not just capabilities that demo well
  • The codebase you help maintain and extend will serve as the foundation for future R&D work across the photonics simulation platform
  • Your technical judgment will shape decisions about which methods to implement, which tradeoffs to make, and where to invest engineering effort for maximum customer value

What You’ll Need

  • PhD in Engineering, Physics, Applied Mathematics, or Computer Science with a focus on Photonics or Optics, or Master’s degree with equivalent hands‑on experience in computational photonics
  • Strong experience in computational photonics and simulation methods grounded in Maxwell’s equations
  • Demonstrated experience with numerical methods such as DGTD, FDTD, RCWA, or related electromagnetic solvers at…

Title: R&D Engineering, Staff Engineer

Company: Synopsys Inc

Location: Vancouver, Canada

Category:

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