Physics Applications Researcher

Vinci4D.ai

Researcher developing operator intelligence infrastructure for modern hardware programs. Leveraging simulation practices and collaborating with physicists and AI researchers to deliver customer value.

Posted 6/29/2026full-timePalo Alto • California • 🇺🇸 United StatesJuniorMid-Level💰 $190,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and leveraging physics simulators, applied machine learning, and modern ML practices, with a strong foundation in data processing systems and collaboration with interdisciplinary teams.

Highest-signal resume keywords

Physics Simulator DevelopmentApplied Machine LearningFEM/FEA/Molecular DynamicsPyTorchData Processing Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Simulation PracticeTemporal Propagation SchemasComputer VisionGraphNNTransformer ArchitecturesBack PropagationLoss FunctionsGeneratorsEmbeddingsTraining & Evaluation Practices

Tools & Technologies

Vinci FrameworkNumpyCuda

Tech Stack

Tools & technologies

NumpyPyTorch

About the role

Key responsibilities & impact

Production and delivering value to our customers.
Leverage the Vinci framework to work on a variety of novel applications.
Experiment with temporal propagation schemas.
Use pre-existing data generation infrastructure.
Take modest iterative steps to prove new utility.
Work with Physicists, AI researchers, Software Engineers and Computational Geometry experts.
Carry early prototypes through iteration and hardening to customer use.

Requirements

What you’ll need

Have published work leveraging or building a simulation practice.
MS/MSc with 4+ years experience or
PhD with 2+ years experience
2+ years using or building physics simulators
FEM, FEA, Molecular Dynamics, FDTD
Applied machine learning approaches
Computer Vision, GraphNN, Transformer Architectures
Working knowledge of modern ML basics
back prop, loss functions, generators, embeddings, transformer models
Experience with some modern ML practices
PyTorch, Numpy, Cuda
Training & Evaluation practices
Have contributed to a production data processing system.

Benefits

Comp & perks

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