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