Full Stack Software Engineer helping productize AI and ML capabilities into robust features at PlanHub. Building scalable systems and collaborating closely with AI and engineering teams.
About the role
- Be part of Seagate’s Wafer AI 2.0 vision: scaling AI to revolutionize wafer operations.
- Develop and implement data collection systems by integrating network gateways, PLCs, microcontrollers, or other methods.
- Create automated workflows to trigger decisions and actions based on sensor data and events.
- Develop user-friendly dashboards and tools for engineers to visualize and interpret data effortlessly.
- Support equipment automation initiatives from concept to full-scale implementation.
- Collaborate with stakeholders and IT partners to define scope, assess feasibility, and translate objectives into technical requirements.
- Take ideas through the full model development lifecycle: task design, data creation, training, evaluation, and governance.
- Innovate with generative AI to eliminate repetitive tasks and boost engineering productivity.
- Work with data scientists to integrate AI/ML models for real-time optimization, predictive maintenance, and defect prevention.
- Build functional proofs of concepts to test new capabilities and product concepts.
- Write clean, maintainable code and participate in reviews, and ensure reliable delivery in production environments.
- Continuously expand your technical knowledge to solve emerging engineering challenges.
Requirements
- Proficiency in Python, ML frameworks (e.g., MLflow, KServe), and containerization tools (Docker, Kubernetes)
- Excellent engineering, problem-solving, communication, and project management skills
- Experience in factory automation, process control, or AI deployment in manufacturing environments
- Experience integrating sensor hardware into factory systems using PLCs, microcontrollers, and network gateways
- Bachelor’s degree in Engineering related field (i.e. Electrical, Mechanical, Chemical, Computer Engineering, Materials, Physics, or Information Technology) and 5+ years of experience or Master’s degree in the same and 3+ years’ experience or PhD and 0+ years’ experience or equivalent experience and education
Benefits
- Discretionary bonus program
- medical, dental, vision, and life insurance
- short-and long-term disability
- 401(k)
- employee stock purchase plan
- health savings account
- dependent care and healthcare spending accounts
- paid time off including 12 holidays
- flexible time off
- minimum of 48 hours of paid sick leave
- 16 weeks of paid parental leave
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