Systems & Control Engineer

About Geminus

Geminus is an industrial process centric digital twin product that delivers self-optimized design, predictive operational intelligence and asset performance enhancement to operators and engineering service providers. The product leverages physics-constrained artificial intelligence to deliver high-fidelity operations and maintenance intelligence and to continuously optimize the designs of assets & processes. Geminus integrates with operational data through SCADA systems, historian software, sensor gateways and enterprise asset management to trigger predictive modeling for the end-to-end industrial process. This generates high-fidelity operational intelligence and design recommendations to prevent multi-step failures, adverse shifts in yield, structural process faults and degraded remaining useful lifetime.

 

The company is based in Palo Alto and venture funded by The Hive. Its co-founder and Chief Scientist, Karthik Duraisamy, has over a decade of rich experience in physics-based modeling and machine learning through both fundamental research at Stanford University & the University of Michigan and industry collaborations. The fast-growing R&D team combines experiences across physics modeling, AI, industrial domains and data operations. The product is in pilot deployments in oil & gas and hi-tech manufacturing verticals. The product is also being made available as a module in leading engineering simulation platforms.

About the Role

The Systems & Controls Engineer will drive the development and implementation of on-line algorithms to manage the flow of information from data to decisions in a variety of contexts relevant to digital twins.This candidate will work with the multi-fidelity modeling team and integrate developments in the process-centric digital twin platform.

Responsiblities

As a key team member of a fast-growing early stage startup, the Systems & Control Engineer will be leading the development of key aspects ofGeminus’ product:

  • On-line execution of estimation and sensor fusion algorithms
  • Data assimilation algorithms
  • Model predictive control and decision algorithms
  • Real-time algorithms for operational intelligence

About You

The successful candidate will have

  • A solid foundation in systems and control theory
  • Proficiency working in a complex software environment
  • Experience in a digital twin setting preferable
  • Educational background or prior experience in estimation, control or decision-related areas.

 

Geminus is an affirmative action employer and welcomes candidates who will contribute to the diversity of our team.

Please send your resumes to jobs@geminus.ai