Systems Engineer - Simulation Correctness
About the role
Your north star will be the guaranteed (empirical) validation of simulation systems. In this role you will use and evaluate the cutting edge solutions developed by our Machine Learning and Solver teams. Ensure that our customers receive the highest value results by building a runtime evaluation mechanism. Develop a compelling data driven argument for this mechanism. Work with software engineers to implement your designs and demonstrate validity.
Responsibilities
- Ensure that our customers receive the highest value results by building a runtime evaluation mechanism.
- Develop a compelling data driven argument for this mechanism.
- Work with software engineers to implement your designs and demonstrate validity.
- Sit at the interface of teams of Physicists, AI researchers, Software Engineers and Computational Geometry experts.
- Be comfortable working with deep technical experts and bringing your own expertise to bear.
Requirements
- Prior experience using or building physics simulators
- FEM, FEA, Molecular Dynamics, FDTD experience in a production environment
- Experience as a systems engineer in a production environment working with Scientists and Engineers in a collaborative setting
Qualifications
- Basic understanding of solver mechanisms; Numerical Optimization, Convergence Criteria, Dampening approaches
- Working knowledge of ML basics; back prop, loss functions, generators, embeddings, transformer models
- Understanding of statistics and data science methods; Confidence intervals, uncertainty quantification, Bayes method
Skills
- Worked as a Systems Engineer for a production Software Solution in any of Robotics, Chip Manufacturing, Aerospace
- Leveraged simulation for design or data generation purposes
- Experience delivering solutions when needed
- Experience with validation solutions for a production ML system
Benefits
We are very excited to talk with you if you have experience working as a Systems Engineer for a production Software Solution in any of Robotics, Chip Manufacturing, Aerospace, Leveraged simulation for design or data generation purposes, Experience delivering solutions when needed, and Experience with validation solutions for a production ML system.
Pay
$190K - $250K
Schedule
Not specified