Embedded AI Simulation Engineer: Global Travel & Equity

fde; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

PhysicsX, Series-C stage, is expanding its AI-for-physics platform into aerospace, defense, semiconductors and automotive sectors. The role requires embedding with customers to tune workflows on the PhysicsX platform in high-stakes engineering settings in New York City.

Travel will be roughly 3–4 weeks per quarter across North America, Europe, Asia and Oceania. Expect base compensation of $180k–$250k plus equity, with a focus on deep simulation and ML over software-as-a-service integration.

Qualifications

• Proficiency in Python for data pipelines and workflows.
• Strong experience in ML model development and deployment.
• Willingness to travel 3–4 weeks per quarter to customer sites.

Responsibilities

• Embed with customers to build and tune workflows on the PhysicsX platform in demanding engineering environments.
• Collaborate across teams to adapt AI simulations to aerospace/defense contexts.
• Travel ~3–4 weeks per quarter to North America, Europe, Asia and Oceania.

Skills

Python

ML engineering

Travel readiness

Tools

PyTorch

TensorFlow

AWS

Azure

GCP

Kubernetes

Job description

PhysicsX, Series-C stage, is expanding its AI-for-physics platform into aerospace, defense, semiconductors and automotive sectors. The role requires embedding with customers to tune workflows on the PhysicsX platform in high-stakes engineering settings in New York City.

Travel will be roughly 3–4 weeks per quarter across North America, Europe, Asia and Oceania. Expect base compensation of $180k–$250k plus equity, with a focus on deep simulation and ML over software-as-a-service integration.