About the job
Enovix (Nasdaq: ENVX) is an advanced silicon battery company based in Fremont, Calif.
Enovix is on a mission to power the technologies of the future. Everything from IoT, mobile and computing devices, to the vehicle you drive, needs a better battery. Our disruptive architecture enables a battery with high energy density and capacity without compromising safety. We are scaling our silicon-anode, lithium-ion battery manufacturing capabilities to meet customer demand. For more information visit https://www.enovix.com/ and follow us on LinkedIn.
This is an exciting time at Enovix! We are looking for experienced candidates to help support our new lithium-ion battery production facility in Penang, Malaysia for commercialization of our 3D Silicon™ Lithium-ion Rechargeable Battery.
Job Summary:
We are looking for an Algorithm Engineer to support advanced battery manufacturing by developing data-driven and physics-informed algorithms that improve yield, quality, and throughput. This role focuses on leveraging manufacturing data, process signals, and inspection systems to optimize cell performance and enable scalable, high-volume production. The ideal candidate combines strong analytical skills with a deep interest in electrochemical systems and smart manufacturing.
Responsibilities:
Equipment Data Acquisition & Connectivity
- Develop and implement edge data acquisition solutions for manufacturing equipment.
- Establish equipment communication standards for new equipment installations.
- Integrate equipment with MES, HMI, PLC, SCADA, and other manufacturing systems.
- Design and maintain equipment connectivity architecture across production lines.
Manufacturing Data Infrastructure
- Build automated data collection pipelines to replace manual reporting processes.
- Develop scalable data architecture for manufacturing analytics.
- Ensure high-quality, reliable equipment operational data for business reporting.
- Support data governance, standardization, and system integration.
Manufacturing Analytics & AI
- Develop equipment monitoring and performance analytics.
- Generate automated manufacturing KPIs including:
- MTBA (Mean Time Between Assists)
- MTBF (Mean Time Between Failures)
- MTTR (Mean Time To Repair)
- Improve statistical reliability of manufacturing data.
- Support variation analysis and statistical process monitoring.
AI & Smart Manufacturing
- Deploy AI solutions for equipment monitoring and process optimization.
- Support predictive analytics and anomaly detection.
- Collaborate with manufacturing engineering teams to improve operational efficiency.
- Support MLOps deployment and lifecycle management.
Compliance & Standardization
- Establish equipment IT standards for future equipment purchases.
- Support equipment calibration and cybersecurity compliance.
- Develop operational standards and documentation for manufacturing data systems.
Qualifications:
- Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Data Engineering, Computer Science, or related discipline.
- Experience with manufacturing equipment integration and industrial communication.
- Knowledge of PLC, HMI, MES, OPC-UA, Modbus, Ethernet/IP or similar industrial protocols.
- Experience in manufacturing data acquisition and equipment connectivity.
- Understanding of SQL, Python, or other data processing tools.
- Knowledge of manufacturing KPIs and equipment performance analysis.
Preferred Qualifications
- Experience in battery, semiconductor, electronics, or automated manufacturing industries.
- Experience with Industrial IoT (IIoT).
- Knowledge of Edge Computing technologies.
- Experience with AI/ML deployment in manufacturing.
- Understanding of MLOps.
- Experience with cloud-based manufacturing analytics.
- Knowledge of statistical analysis and process optimization.
Preferred Skills
- Equipment Data Acquisition
- Manufacturing Data Analytics
- Edge Computing
- Industrial Networking
- AI Deployment
- Manufacturing KPI Development
- Data Architecture
- Industrial Automation
- Smart Factory
- Process Optimization
Key Deliverables
- Automated equipment data acquisition system implementation
- Standardized equipment connectivity architecture
- Automated MTBA / MTBF / MTTR reporting
- Manufacturing analytics dashboard development
- Equipment IT standards for future production lines
- AI-enabled equipment monitoring and optimization
