Job Description

We are seeking a Scientist to lead the technical development of a next-generation Photonic Design Automation platform. The role combines algorithm research, high-performance computing, software architecture, AI validation, and technical leadership for photonic integrated circuit design. 

Key Responsibilities

• Design and deliver core PDA technologies, including DRC, layout processing, rendering, routing, numerical solvers, and design automation algorithms.
• Optimize computational workloads for multicore CPUs, GPUs, and distributed systems using technologies such as CUDA, MPI, and OpenMP.
• Define the platform architecture, APIs, data structures, development standards, testing framework, and technical roadmap.
• Evaluate AI applications such as inverse design, surrogate modelling, solver acceleration, routing, layout generation, and automated design assistance.
• Convert research prototypes into reliable, scalable, and production-quality software.
• Lead engineers and external partners, review technical work, manage risks, and ensure delivery quality and performance.
• Collaborate with photonics researchers, simulation specialists, software engineers, and product stakeholders.

Required Qualifications

• PhD in Computer Science, Engineering, Physics, Mathematics, or a related field.
• Strong research and engineering experience in algorithms, scientific computing, or complex software systems.
• Expert proficiency in a systems programming language and strong proficiency in Python.
• Strong foundation in algorithms, computer systems, parallel computing, distributed systems, and software architecture.
• Advanced experience with at least two HPC technologies, such as CUDA, MPI, OpenMP, GPU programming, SIMD, or distributed computing.
• Solid knowledge of machine learning frameworks, model development, evaluation, and deployment.
• Proven technical leadership, problem-solving, communication, and software delivery capabilities.
• Strong interest in photonics, silicon photonics, or computational design.

Others

• Experience with EDA, CAD, computational geometry, routing, rendering, or scientific simulation software.
• Knowledge of electromagnetic simulation, numerical solvers, optimization, sparse linear algebra, or distributed computing.
• Familiarity with photonic design workflows, GDSII/OASIS, PDKs, DRC, netlists, or hierarchical layouts.
• Experience with cloud platforms, Kubernetes, GPU clusters, or scientific workflow systems.
• Publications, patents, open-source contributions, or industrial software delivery experience.