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 <a href="https://www.enovix.com/">https://www.enovix.com/</a> and follow us on <a href="https://www.linkedin.com/company/enovix-corp-/">LinkedIn.</a> 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 &amp; Connectivity<ul><li>Develop and implement edge data acquisition solutions for manufacturing equipment.</li><li>Establish equipment communication standards for new equipment installations.</li><li>Integrate equipment with MES, HMI, PLC, SCADA, and other manufacturing systems.</li><li>Design and maintain equipment connectivity architecture across production lines.</li></ul>Manufacturing Data Infrastructure<ul><li>Build automated data collection pipelines to replace manual reporting processes.</li><li>Develop scalable data architecture for manufacturing analytics.</li><li>Ensure high-quality, reliable equipment operational data for business reporting.</li><li>Support data governance, standardization, and system integration.</li></ul>Manufacturing Analytics &amp; AI<ul><li>Develop equipment monitoring and performance analytics.</li><li>Generate automated manufacturing KPIs including:<ul><li>MTBA (Mean Time Between Assists)</li><li>MTBF (Mean Time Between Failures)</li><li>MTTR (Mean Time To Repair)</li></ul></li><li>Improve statistical reliability of manufacturing data.</li><li>Support variation analysis and statistical process monitoring.</li></ul>AI &amp; Smart Manufacturing<ul><li>Deploy AI solutions for equipment monitoring and process optimization.</li><li>Support predictive analytics and anomaly detection.</li><li>Collaborate with manufacturing engineering teams to improve operational efficiency.</li><li>Support MLOps deployment and lifecycle management.</li></ul>Compliance &amp; Standardization<ul><li>Establish equipment IT standards for future equipment purchases.</li><li>Support equipment calibration and cybersecurity compliance.</li><li>Develop operational standards and documentation for manufacturing data systems.</li></ul>Qualifications:<ul><li>Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Data Engineering, Computer Science, or related discipline.</li><li>Experience with manufacturing equipment integration and industrial communication.</li><li>Knowledge of PLC, HMI, MES, OPC-UA, Modbus, Ethernet/IP or similar industrial protocols.</li><li>Experience in manufacturing data acquisition and equipment connectivity.</li><li>Understanding of SQL, Python, or other data processing tools.</li><li>Knowledge of manufacturing KPIs and equipment performance analysis.</li></ul>Preferred Qualifications<ul><li>Experience in battery, semiconductor, electronics, or automated manufacturing industries.</li><li>Experience with Industrial IoT (IIoT).</li><li>Knowledge of Edge Computing technologies.</li><li>Experience with AI/ML deployment in manufacturing.</li><li>Understanding of MLOps.</li><li>Experience with cloud-based manufacturing analytics.</li><li>Knowledge of statistical analysis and process optimization.</li></ul>Preferred Skills<ul><li>Equipment Data Acquisition</li><li>Manufacturing Data Analytics</li><li>Edge Computing</li><li>Industrial Networking</li><li>AI Deployment</li><li>Manufacturing KPI Development</li><li>Data Architecture</li><li>Industrial Automation</li><li>Smart Factory</li><li>Process Optimization</li></ul>Key Deliverables<ul><li>Automated equipment data acquisition system implementation</li><li>Standardized equipment connectivity architecture</li><li>Automated MTBA / MTBF / MTTR reporting</li><li>Manufacturing analytics dashboard development</li><li>Equipment IT standards for future production lines</li><li>AI-enabled equipment monitoring and optimization</li></ul>

We're building a next-gen lithium-ion battery with our patented 3D cell architecture and high-capacity silicon anode to increase energy density and improve safety.Our patented 3D cell architecture, high-capacity silicon anode, and high-speed production process increase energy density and improve safety at an affordable price. Enovix is building a diverse team of engineers and scientists to produce the next generation of safe, high-energy batteries.

Algorithm Engineer

About the Job

About the Company

Enovix

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