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Open nowPosted 85 days ago

Algorithm Engineer

Enovix Corporation28 open roles

Where
Nonsan-si, Korea
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Your applicationOpen nowAlgorithm EngineerEnovix Corporation · Nonsan-si, Korea
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This job: posted 85 days ago

The posting

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
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