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Member of Technical Staff - Software Engineer

Vinci Vr

Palo Alto, CA · $180k–$220k a year · Posted September 3, 2026

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Pay compared with the market

This listing pays about $200,000 a year. Across 130 open member of technical staff listings that state pay, the middle half runs $208,000 to $270,000 and the median is $240,000. That is 17% below the median, below the middle half of those listings.

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How AI is used in this kind of work

Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

  • Python
  • Kubernetes
  • Docker
  • C#

About the job

About Us 🚀

- We're building an AI assistant for hardware designers. Our mission is to enable millions of hardware designers and engineers to iterate through designs 1000x faster.

- We are building our geometry + physics driven foundation model for each class of part design.

- We are looking for people who love to build new products to help us improve our MVP.

Your Responsibilities

You’ll be a force multiplier for our team and will design and develop the pipelines and tools that make our product a product. This includes accelerating our development by developing the system that enables our code to go from development to deployment. You’ll also orchestrate how data flows throughout the deployed product. Specific tasks include:

- Develop key features to improve our product including: making it more scalable, developing improving APIs to enable more complex engineering workflows

- Set up and integrate LLM or VLM infrastructure

- Set up an MLOps framework for training deep learning architectures for geometry and physics data

- 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

- 6+ years of experience developing and shipping features in the space of high performance computing.

- Proficiency in C++, Python, or any other language necessary for setting up a system. Tools like grpc, protocol buffers, Docker, Kubernetes, Bazel (or your favorite language agnostic build system)

- Proficiency in using cloud compute be it for data generation, scraping, and enabling data science teams to train models with MLOps is a plus

- CUDA experience would be amazing but not required

- Frontend experience is a plus

- Startup experience is a strong advantage.

You’re a great fit for this role if you

- Are excited about entrepreneurship, taking things from 0 to 1,

- Have a continuous learning mindset.

- Are interested in building a geometry and physics based model for a vast variety of design problems (e.g. heat dissipation system for chips to landing gears)!

- Thrive when you have autonomy and ownership over your work