Join Flexciton, where innovation meets inspiration in the heart of the semiconductor industry. We're pioneers in the 4th industrial revolution, crafting cutting-edge AI solutions tailored for manufacturing. Our customers are global leaders reshaping the semiconductor landscape, delivering billions of dollars of chips across the globe.
Our state-of-the-art technology is redefining semiconductor manufacturing leading to unparalleled efficiency, sustainability and performance. Semiconductors are the cornerstone of tomorrow, integral to innovations in everything from automobiles to space exploration.
At Flexciton, we're on an exhilarating upward trajectory, with our solutions increasingly critical to the productivity of the world's most advanced semiconductor facilities. We're seeking a Lead Software Engineer to drive technical excellence across our platform while helping shape our engineering culture, practices, and technology choices as we scale. You'll work across our entire stack, from data processing pipelines to API design, while helping shape our engineering culture and practices.
Drive architectural decisions that balance innovation with reliability across our Python-based platform
Design and implement scalable systems that handle complex data processing and optimization workflows
Evaluate and guide adoption of new technologies to improve system performance and reliability
Lead strategic technical initiatives including potential language/framework migrations
Build robust data processing pipelines that handle semiconductor fab data at scale
Create frameworks that enable rapid prototyping while maintaining production quality
Implement complex data science workflows in production-grade Python
Champion software engineering best practices including testing, CI/CD, and monitoring
Drive improvements in system reliability, performance, and maintainability
Extensive experience building and scaling Python-based systems in production
Deep understanding of software architecture principles and distributed systems
Experience with modern development practices including CI/CD, testing, and monitoring
Background in data-intensive applications and API design