About the role

Aplyr's Quick Take

This role is for a Computational Fluid Dynamicist focused on developing flow solvers for complex geometries in a startup environment. You'll be writing and deploying code for simulations, working with modern architectures like GPUs, and collaborating on product strategy. It's an individual contributor position with a strong emphasis on technical skills and autonomy.

Good fit

Ideal candidates have over 10 years of experience in product development, particularly with GPU solvers and fluid dynamics. A background in startups and a passion for entrepreneurship will help you thrive here, as will a proactive, self-directed working style.

Worth noting

The company is backed by Khosla Ventures and emphasizes a culture of learning and ownership. The role requires a high level of technical expertise and offers the chance to significantly impact engineering productivity.

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

Skills & Tags

python machine learning ai mobile product design

Aplyr's read

Vinci is a cutting-edge AI company attracting top talent in engineering and data systems to drive innovation across diverse industries.
Synthesized from recent postings & public sources

What's promising

•Vinci leverages AI to enhance productivity and efficiency across multiple sectors.
•The company is actively hiring for specialized engineering roles, indicating growth and innovation.
•Vinci's focus on advanced technologies positions it as a leader in AI-driven solutions.

What to watch

•High specialization in roles may limit opportunities for broader skill sets.
•Rapid innovation could lead to high-pressure work environments.
•Limited public information about company culture and employee satisfaction.

Why Vinci

•Vinci's emphasis on thermal-mechanical engineering is rare in the AI industry.
•The company integrates AI with complex engineering domains like CFD and thermal systems.
•Vinci's recruitment for extreme-scale computing roles highlights its focus on cutting-edge technology.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Vinci

Vinci

vinci4d.ai

View company

Vinci is an AI-driven company focused on providing innovative solutions for various industries, leveraging advanced technologies to enhance productivity and efficiency.