Algorithm Engineer

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