Vinci4D.ai
Systems Engineer - Simulation Correctness
Palo Alto HQ · Exec
Sponsorship not specifiedDetected 41 days ago
Machine LearningData ScienceNLPMLOpsStatisticsFEASystems EngineeringRoboticsManual TestingPremiere ProResearchLeadershipCommunication
About the role
- This method reduces the complexity of physics simulations, making them easier to setup, run and evaluate quickly.
- In this role you will use and evaluate the cutting edge solutions developed by our Machine Learning and Solver teams.
- You will sit at the interface of teams of Physicists, AI researchers, Software Engineers and Computational Geometry experts.
Responsibilities
- You will sit at the interface of teams of Physicists, AI researchers, Software Engineers and Computational Geometry experts. You are comfortable working with deep technical experts and bringing your own expertise to bear.
- Prior experience using or building physics simulators
- Develop a compelling data driven argument for this mechanism.
- Work with software engineers to implement your designs and demonstrate validity.
- Support global, multi-entity deployment across Tier-1 ecosystems
- Ensure that our customers receive the highest value results by building a runtime evaluation mechanism.
Requirements
- Experience as a systems engineer in a production environment
- Working knowledge of ML basics
Benefits
- Expand simulation capabilities to maximize utility and domain coverage
Company info
- Trained on PetaBytes of structured physics data
- Running billion-voxel inference in production
- Tier-1 semiconductor and hardware customers
- Operating across multiple physical scales and operator regimes
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