---
title: 'Member of Technical Staff - Full-Stack Software Engineer at Vinci4d'
canonical: 'https://feeny.ai/job/member-of-technical-staff-full-stack-software-engineer-vinci4d-palo-alto-rvg4z5t42vke'
type: 'job'
last_seen: '2026-09-08'
---

# Member of Technical Staff - Full-Stack Software Engineer at Vinci4d

- **Company:** Vinci4d
- **Location:** Palo Alto, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/vinci4d/7585965e-6910-48d5-8cfc-900d930630e8

## Job description

## ABOUT US

Vinci combines a foundation model for physics with GPU-native solvers to deliver unprecedented simulation speed and accuracy. There’s no meshing, no approximations, and customer data is not required to train the model: it simply works out of the box. Vinci enables engineers to run thousands of simulations seamlessly, transforming how complex physical systems are designed and optimized.

Our teams rely on high-performance compute, secure networking, and cloud integrations to accelerate development. We’re looking for a pragmatic full-stack engineer who can span customer-facing UIs, backend services, and native C++ integrations — someone who ships features end-to-end and takes ownership of how customers consume them.

## ROLE SUMMARY

Hands-on full-stack role. You’ll build and operate Python/gRPC services that expose capabilities from C++ engines, make small–medium UI changes to customer and internal apps, and own the application work required to make features consumable by customers. The ideal candidate is comfortable working across the stack, fluent in shipping production services, and motivated to make the product easier and safer for customers to use.

## WHAT YOU’LL DO

- Design, implement, and operate Python-based microservices and gRPC APIs that expose native C++ engines and simulation/inference pipelines.
- Implement small-to-medium UI changes and work with product/UX on customer-facing React apps (TypeScript/JS, HTML/CSS) — from bug fixes to adding new pages or controls.
- Implement application logic end-to-end: request validation, job orchestration, retries/idempotency, transactional correctness, and SDKs/APIs for customers.
- Help design and operate distributed systems: job partitioning, backpressure, retries, observability, and autoscaling for services that coordinate native compute.
- Debug and profile across the stack — from frontend performance and network requests to Python runtime and native C++ hotspots.
- Build CI/CD pipelines and automated tests (unit, integration, e2e) that cover backend, frontend, and native components.
- Participate in on-call rotations, incident response, and post-mortems; maintain runbooks and operational dashboards.
- Collaborate with product, QA, infra, and customer success to ensure features are usable, secure, and well documented.
- Mentor teammates and contribute to code reviews and engineering best practices.

## REQUIRED QUALIFICATIONS

- 5+ years professional software engineering experience building backend or full-stack systems.
- Strong experience with Python service development (sync/async) and building/consuming gRPC/protobuf APIs.
- Practical PostgreSQL experience: schema design, safe migrations, query tuning, indexing, and optimizing queries for production workloads.
- Practical experience with React (or equivalent modern frontend framework), TypeScript/JavaScript, HTML/CSS, and shipping UI changes to production.
- Good knowledge of concurrency and multi-threaded programming, and how to reason about concurrency across language boundaries.
- Experience working in large codebases with good engineering practices (testing, CI/CD, code review, documentation).
- Strong communication skills and an appetite for taking end-to-end ownership of customer-facing features.

## PREFERRED / BONUS SKILLS

- Experience exposing native C++ features to Python (pybind11, CFFI).
- Familiarity with EDA/layout or domain file formats (OAS, GDS, ECXML, STL, STEP).
- Experience distributing compute with MPI, task queues, or job schedulers; knowledge of Kubernetes, Slurm, or HPC schedulers.
- GPU acceleration experience (CUDA/ROCm) or integrating GPU-accelerated C++ libraries.
- Knowledge of binary serialization (protobuf, FlatBuffers), zero-copy techniques, and high-performance I/O (io_uring).
- Experience with observability tooling (Prometheus, OpenTelemetry, structured logging, tracing).
- Experience with authentication patterns (OAuth2, JWT, mTLS) and secure frontend/backend interactions.
- Knowledge of Linux internals and debugging: processes, threads, signals, memory, and common syscalls.

## WHAT WE VALUE

- Engineers who ship customer-usable features and take responsibility for operational quality.
- Pragmatism: delivering maintainable, well-tested solutions that meet product and performance goals.
- Systems curiosity: willingness to dig into low-level behavior to solve real problems.
- Collaboration: clear code reviews, documentation, and mentorship.

## COMPENSATION & BENEFITS

Competitive salary, equity, health benefits, flexible time off, and remote-friendly policies. Final compensation depends on experience and location.

## About Vinci4d

## Company Overview
- **One-liner**: Vinci4D builds a physics AI foundation model that enables deterministic, solver-accurate simulation at manufacturing resolution—eliminating meshing, approximations, and customer-specific training.
- **Entity Type**: Private (Series A, 2025)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2023
- **Founders**: Dr. Hardik Kabaria (CEO) and Dr. Sarah Osentoski (CTO)

## Core Business
- **Primary industry**: Semiconductor design and simulation; AI-powered physics simulation for hardware engineering.
- **Target customers**: Enterprise (semiconductor and systems companies), B2B.
- **Mission or purpose statement**: Build a physics AI foundation model that natively understands the laws of physics, enabling engineers to innovate at speed and scale once unimaginable.

## Products & Services
- **Vinci Platform**: A physics AI foundation model that performs full-manufacturing-resolution simulations (thermal, thermo-mechanical, warpage) out-of-the-box – no meshing, no approximations, no customer data required. Validated against traditional FEA solvers with <2% deviation and up to 1000× speed improvement. Deployed securely behind customer firewalls.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding – **$36.5M** (LinkedIn) or **$46M** (conflicting reports per newsroom; includes $36M Series A + $500k seed + possible additional tranche). [getvinci.ai](https://www.getvinci.ai/newsroom/) [linkedin.com](https://www.linkedin.com/company/vinci4d-ai)
- **Notable Investors/Partners**: Khosla Ventures, Eclipse Ventures, Xora. Strategic partnerships with leading semiconductor companies (over half of top 20 semiconductor firms have benchmarked Vinci).
- **Growth Signals**: Employee headcount grew **550% YoY** to 27 people; peer-reviewed validation published at EPTC 2025; 240× to 360× speed improvements demonstrated in customer benchmarks.

## Competitive Advantages
- **Physics-native AI foundation model** that inherently respects governing laws – not a generic LLM.
- **No meshing required** – works directly with native CAD/layout files (OASIS, GDS, IPC-2581) preserving full design fidelity.
- **No customer data needed** – model generalizes out-of-the-box without retraining.
- **Deterministic, solver-accuracy** (<2% deviation from traditional FEA) at 1000× speed, making it production-grade.

## Strategic Focus
- **Current priorities**: Deepen adoption in semiconductor packaging and electronics thermal simulation; expand into adjacent hardware domains (e.g., automotive, aerospace) where full-resolution physics simulation is critical.
- Continue validating through peer-reviewed research and scaling the platform to handle extreme degrees of freedom (100+ million elements).

## Why Work Here
- **Culture**: Founded by AI and simulation experts from Stanford/UC Riverside; team includes world-class simulation engineers and AI researchers (former Carbon, NVIDIA, Zoox engineers).
- **Work environment**: Startup pace with strong research and engineering focus – technical roles dominate (57% of headcount).
- **Funding & stability**: Well-backed by top-tier VCs; runway from $36M+ Series A.
- **Flexibility**: Offices in Palo Alto and Redwood City, CA; not explicitly stated as remote-first, but typical of early-stage deep-tech startups.
- **Engineering culture**: Focus on building a foundation model for physics using Python, PyTorch, CUDA, Kubernetes, Docker, and simulation tools like Ansys Icepak/FloTHERM.

## Sources
1. [getvinci.ai (Home)](https://www.getvinci.ai/)
2. [getvinci.ai (Team)](https://www.getvinci.ai/team/)
3. [getvinci.ai (Newsroom)](https://www.getvinci.ai/newsroom/)
4. [linkedin.com (Company Page)](https://www.linkedin.com/company/vinci4d-ai)
5. [jobs.ashbyhq.com (Careers)](https://jobs.ashbyhq.com/vinci4d)

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