About the job
About Us
At Sila, we are at the forefront of revolutionizing battery technology. Our mission is to facilitate the global shift towards clean energy by engineering innovative lithium-ion battery materials that enhance energy density while minimizing size and weight. Our advancements result in powerful, compact batteries that foster innovation in consumer electronics and accelerate the widespread adoption of electric vehicles, thereby reducing our reliance on fossil fuels. Every day, we tackle one of the most critical challenges of our time, pushing the boundaries of what’s possible. Are you ready to join a team committed to transforming the world?
Who You Are
You are passionate about creating intelligent systems that enhance manufacturing operations, enabling factories to understand current conditions, anticipate future events, and react proactively. You thrive on solving complex technical challenges that have tangible operational impacts. You can distill ambiguous manufacturing issues into functional systems that are utilized by engineering and operations teams.
You are adept at navigating software, data, engineering principles, and manufacturing frameworks. You are experienced in managing noisy production data, imperfect systems, and complex failure patterns. You don't just focus on visibility; you design actionable systems.
We seek an individual with a track record of building and implementing systems that transform operational processes.
Build Manufacturing Intelligence Systems
- Create internal production systems that aggregate plant telemetry, live data feeds, event logs, quality assessments, maintenance records, and operational context for enhanced manufacturing predictions and responsive actions.
- Analyze raw data to reconstruct equipment and process behaviors, highlighting significant deviations from expected outcomes.
- Design systems that detect process drifts, categorize fault patterns, and assess operational risks before failures or quality losses occur.
- Convert raw manufacturing indicators into dependable services and applications that boost uptime, yield, and execution speed.
Develop Models That Matter
- Construct and implement machine learning models for anomaly detection, fault classification, process monitoring, quality forecasting, and related manufacturing applications.
- Create models that interlink recipe conditions, process parameters, and equipment behavior.

