Member of Technical Staff - CFD Engineer
TLDR
Lead design and deployment of GPU-accelerated multi-physics CFD solvers for conjugate heat transfer in complex geometries, shaping product roadmap and delivering high-impact engineering tools.
About Us
We're building a co-pilot for hardware designers. Our mission is to enable 9M mechanical engineers to iterate through designs 1000x faster.
We are building our geometry + physics driven foundation model for each class of part design
Already raised the first round of capital from Khosla Ventures!
About You
You are a Computational Fluid Dynamicist writing flow solvers for complex geometry applications. Examples of such applications include external flows over moving vehicles (planes, missiles, automobiles etc), flow through machinery such as ducts, turbo-machinery, refrigeration systems, computer heat sinks etc. You are excited when you hear phrases like conjugate heat transfer, multi-physics applications, complex geometries.
Your Responsibilities
Design, develop, and deploy codes to simulate single and multi-physics (Conjugate Heat Transfer) configurations
Ensure performant code on modern architectures like GPUs
Implement methods to reduce time to solution such as advanced linear and nonlinear solvers
Assist in the strategy, planning the product roadmap, and prioritize the development in partnership with early customers and design partners
Build and ship critical product features
Learn a lot while building products that engineers will love. Also learn about entrepreneurship!
Qualifications
10+ years of experience developing and shipping products
2+ years of experience working on GPU solvers.
Experience with Finite Volume incompressible flow solver techniques, linear solver methods and libraries
Experience architecting, training and deploying a feature in resource constrained environments.
Experience with the related technologies, libraries, and languages: C++, CUDA, Python
Experience with standard modern software development tools and practices.
Experience with multi-physics solver development is an advantage
Experience with Immersed Boundary Methods is a strong advantage.
Startup experience is a strong advantage.
Experience with Scientific Machine Learning techniques is a definite advantage.
You are excited about entrepreneurship, taking things from 0 to 1, and have a continuous learning mindset.
You are excited about building a solver that will increase engineer productivity by orders of magnitude
You thrive when you have autonomy and ownership over your work
Location
We’re located in Palo Alto, CA near Caltrain station, planning to work 2-3 days in person.
Benefits and perks
Generous compensation & equity (stock options)
Health + dental + 401k
Lunch, drinks, and snacks provided for in-person days
Benefits
Equity Compensation
Generous compensation & equity (stock options)
Free Meals & Snacks
Lunch, drinks, and snacks provided for in-person days
Health Insurance
Health + dental + 401k
Vinci4d is developing an AI-driven platform for hardware design that enhances the accuracy and speed of physics simulations. Targeting semiconductor manufacturers and hardware companies, our technology empowers engineers to explore and optimize complex systems, bridging traditional simulation methods and modern machine learning to reshape the design and production landscape.