Source description
About the role
DeepSim, Inc.
An AI physics simulator for AI chip design
AI Physics Engineer
$140K - $180K•0.50% - 1.00%•Palo Alto, CA, US
Job type
Full-time
Role
Engineering, Machine learning
Experience
Any (new grads ok)
Visa
US citizen/visa only
Skills
-
Python, Torch/PyTorch, Linux, Machine Learning
-
Connect directly with founders of the best YC-funded startups.
Connor McClellan
Founder/CEO
Connor McClellan
Founder/CEO
About the role
DeepSim is seeking an AI Physics Engineer to help build the next generation of fast, scalable physics simulation technology. This role is ideal for someone who has expertise at the intersection of modern AI models and physics-based modeling and who is excited to transform how engineers simulate complex physical systems.
Responsibilities
- Design and implement AI-accelerated physics models with a focus on thermal, mechanical, or fluid domains.
- Train, evaluate, and refine machine learning models to improve simulation speed, accuracy, stability, and generalization.
- Develop high-quality synthetic dataset generation pipelines.
- Contribute to research directions by identifying opportunities for new modeling approaches, data strategies, and performance improvements.
- Collaborate closely with physics, AI, and platform engineers to integrate models into production-grade simulation tools.
Qualifications
- Strong background in building and training AI or ML models, including dataset creation and preprocessing for scientific/engineering applications.
- Experience in physics simulations, ideally for thermal, solid mechanics, or fluid flow problems. Background in numerical methods and experience developing numerical analysis tools (especially for physics PDEs) are a big plus.
- Solid foundation in linear algebra.
- Proficiency with scientific computing tools (e.g., NumPy, PyTorch, JAX, or similar).
- Master’s or PhD in engineering, computer science, physics, applied math, or a related field.
- Comfort working in fast-paced research and production environments.
About DeepSim, Inc.
DeepSim is building a new type of physics simulator that radically scales and accelerates simulations for engineering teams. By combining breakthrough AI approaches with traditional numerical methods, we deliver simulation capabilities that were previously too slow or computationally costly. We are currently partnering with leading semiconductor companies to solve critical challenges in next-generation chip design, thermal management, and system architecture. Join us if you’re excited to reinvent how physics simulations are built, applied, and scaled.
Founded:2020
Batch:S24
Team Size:4
Status:
Active
Location:San Francisco
Company websiteLinkedIn profile
Founders
Alexander Gabourie
Founder
Alexander Gabourie
Founder
Chuck Koroglu
Founder
Chuck Koroglu
Founder
Connor McClellan
Founder/CEO
Connor McClellan
Founder/CEO
Similar Jobs
Hiring Research Scientists and Research Engineers at PerfectBit
Founding Forward Deployed Scientist - Agentic Pharma R&D
Machine Learning Engineer: LLM Interpretability & Systems
Founding Platform Engineer, Data & ML Systems
Senior Machine Learning Engineer
Edge Computer Vision Engineer for Drones!
More at DeepSim