Назад
Company hidden
4 часа назад

AI Engineer (Physics Simulation)

190 000 - 260 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
AI Engineer (Physics Simulation): Developing and scaling operator intelligence infrastructure for hardware design with an accent on transient domain modeling and physics-informed machine learning. Focus on integrating temporal propagation schemas, optimizing simulation throughput, and hardening production-grade AI models for Tier-1 semiconductor customers.

Location: Palo Alto, CA (Hybrid)

Compensation: $190,000 – $260,000 + Equity

Company

hirify.global is an early-stage startup building operator intelligence infrastructure that accelerates hardware design validation using foundation models trained on structured physics data.

What you will do

  • Leverage the hirify.global framework to develop novel applications for transient domain modeling, interactions, and dynamics.
  • Experiment with temporal propagation schemas using both classical and learned approaches.
  • Generate and curate training and verification samples using existing data infrastructure.
  • Iterate on prototypes and harden features in collaboration with customers.
  • Work cross-functionally with physicists, AI researchers, and computational geometry experts to deploy production-ready systems.

Requirements

  • MS/MSc with 4+ years of experience or PhD with 2+ years of experience.
  • 2+ years of experience building or using physics simulators (FEM, FEA, Molecular Dynamics, FDTD).
  • Applied machine learning experience (Computer Vision, GraphNN, Transformer Architectures).
  • Proficiency with PyTorch, Numpy, and Cuda.
  • Experience contributing to production data processing systems and software design standards.
  • Strong discipline in CI, regression testing, and validation.

Nice to have

  • Experience applying ML to meshing geometry or accelerating FEM/DFT simulations.
  • Background in moving early-stage prototypes to production environments at a startup or national lab.
  • Experience leveraging simulation for design or data generation.

Culture & Benefits

  • Opportunity to define a foundational abstraction layer in an early-stage, high-impact startup.
  • Work directly with technical leadership including the CTO and CEO.
  • Collaborative, small, and friendly team environment.
  • Greenfield opportunities to architect large parts of the core system.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →