Applications 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 Applications Engineer engages with customers throughout their lifecycle, providing technical expertise to help them successfully use and deploy Geminus products and partner integrations. Essential to sales and customer success, the role spans technical pre-sales and post-sales support and product training for customers in advanced manufacturing, automotive, aerospace, oil & gas, energy and high-tech sectors.

Responsiblities

As an Applications Engineer in a fast-growing startup, you will:

  • Collaborate with sales and partner field teams, providing technical assistance throughout the customer lifecycle.
  • Deliver presentations, demonstrations, and product training to customers and prospects.
    Support evaluations, PoCs and pilot projects.
  • Create technical collateral, demos and training material to support sales and customer success.
  • Effectively and proactively communicate with customers and partners to build relationships as a trusted advisor.
  • Provide product support, triaging customer problems and driving them to resolution.
  • Communicate customer feedback to the product development team and assist in testing and qualifying new releases of Geminus products.

About You

You have a proven track record of supporting and deploying data-driven modeling and simulation products for industrial customers, with experience running industrial CFD simulations.

  • BS degree in Computer Science, Engineering or similar technical field. Advanced degrees are a plus.
  • 3+ years of experience providing technical pre- and post-sales support and/or professional services for engineering simulation products.
  • In-depth understanding of Computational Fluid Dynamics (CFD) simulation and an expert user of one or more CFD simulation platforms (e.g. ANSYS, Dassault Systèmes or Siemens).
  • Experience working in or supporting one or more key industry verticals: automotive, aerospace, oil & gas.
  • Basic programming and/or scripting skills.
  • “Roll-up-your-sleeves” entrepreneurial, startup attitude.
  • Excellent verbal and written communication and presentation skills.
  • Natural ability to engage with customers and prospects.
  • Ability to handle multiple competing priorities in a fast-paced environment.
  • Self-directed and highly collaborative, with the ability to identify and contribute to areas for improvement.
  • Regular travel to customer & partner sites and events is required.

 

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