Senior Systems Engineer – Simulation Correctness

Your north star will be the guaranteed empirical validation of simulation systems.

• Use and evaluate cutting‑edge solutions developed by our Machine Learning and Solver teams.
• Ensure that 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 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.

• Prior experience using or building physics simulators.
• FEM, FEA, Molecular Dynamics, FDTD.
• Experience as a systems engineer in a production environment.
• Working with scientists and engineers in a collaborative setting.
• 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.
• Worked as a systems engineer for a production software solution in one or more of the following: robotics, chip manufacturing, aerospace.
• Leveraged simulation for design or data generation purposes.
• Delivered solutions when needed.
• Worked on validation solutions for a production ML system.

Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively – a feature exclusive to Job Tailor job listings.

• Physics simulators
• FEM
• FEA
• Molecular Dynamics
• FDTD
• Numerical optimization
• Convergence criteria
• Dampening approaches
• Machine learning basics
• Statistics

• Collaboration
• Communication
• Problem‑solving
• Interdisciplinary teamwork
• Data‑driven argumentation
• Confidence
• Adaptability
• Technical expertise