About this role
Lead Engineer, Manufacturing Data Analytics
The Allegro team is united by a clear purpose—advancing technologies that make the world safer, more efficient, and more sustainable. With over 30 years of experience in semiconductor innovation, we bring that purpose to life across every part of the business—from breakthrough product development and customer success to how we show up for each other and the communities we serve.
The Opportunity
At Allegro Microsystems, we are "Innovation with Purpose," and our global operations are at the forefront of the digital revolution. This is your opportunity to join a high-impact team where you will bridge the gap between semiconductor manufacturing and cutting-edge technology. You will play a pivotal role in our digital transformation journey, moving beyond traditional data reporting to architecting intelligent, self-optimizing systems. This role offers the chance to influence the future of how we sense and power the world by deploying state-of-the-art AI and automation solutions across our manufacturing landscape.
What You Will Do
- Design & Implement Intelligent Solutions: You will architect end-to-end data-driven solutions, developing automated workflows and building predictive machine learning models to enhance production efficiency.
- Architect AI Pipelines: Integrate diverse automation tools, databases, cloud platforms, and AI pipelines into a cohesive, scalable architecture while ensuring rigorous compliance with cybersecurity and data-privacy standards.
- Drive Digital Transformation: Lead strategic digital transformation projects from inception to production. You will execute data preparation, dashboard development, and manage the entire AI model lifecycle.
- Collaborate & Deploy: Partner with cross-functional teams and Project Managers to ensure timely completion of activities. You will perform User Acceptance Testing (UAT) with end-users and manage submissions to the Change Management Board for deployment approvals.
- Innovate & Sustain: Continuously identify opportunities for technological innovation and process optimization. You will also sustain, troubleshoot, and fix solutions as issues arise, while generating training materials and updating documentation affected by new implementations.
What You Will Bring
- Educational Excellence: A Bachelor’s or Master’s degree in Data Science/Analytics, Artificial Intelligence, Computer Science, Electrical/Electronics/Computer Engineering, or an equivalent technical field.
- Industry
Experience
- 3–5 years of hands-on experience in automation, data analytics, and AI specifically within a semiconductor manufacturing setup.
- Technical Mastery:
- Prov