Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Remote
Location
United States
Posted
5 months ago
DockerSQLAssemblyCADC++GitKubernetesPython
Job Description
Are you a passionate engineer eager to contribute to groundbreaking research and development? Join our team and play a key role in supporting our teams in developing cutting-edge silicon photonics integrated circuits. You'll be involved in the development process, from design and fabrication to testing and analysis, for complex photonic devices and systems-on-chip. Collaborate with experienced designers on innovative projects and large-scale silicon photonics circuits. Apply now and be part of a team pushing the boundaries of photonic technology!
- Design, develop, and maintain applications and scripts to automate tools and workflows within the photonic chip fabrication process.
- Oversee and manage the assembly and build processes for reticles used in photonic chip manufacturing, ensuring quality and efficiency.
- Understanding of semiconductor or photonic chip manufacturing processes, particularly related to reticle assembly and fabrication
- Implementing design rule checking and design for testing checks.
- Experience with manufacturing automation concepts and protocols (e.g., GDS, DRC, DFT) is highly desirable.
- Maintain and version photonic component process design kits (PDKs).
You have:
- 2-4 years of related experience.
- Strong background in Python, C++, software scripting or software development.
- Experience with version control systems (e.g., Git).
- Knowledge of optical design software and CAD tools (e.g. Lumerical suite and Klayout).
It would be nice if you also had:
- Familiarity with software development lifecycle (SDLC) best practices, including testing, debugging, and deployment.
- Statistics background for implementing useful correlations, plots, charts.
- Comfortable in a remote/server/Linux environment. Background in parallel programming (multithreading and multiprocessing) is a plus.
- Experience with SQL database systems.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes).
- Experience with directing and reviewing agentic AI systems.
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