Vinci4D.ai

Computational Fluid Dynamics Engineer Join to apply for the Computational Fluid Dynamics Engineer role at Vinci4D.ai. 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. 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). Lunch, drinks, and snacks provided for in-person days. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Technology, Information and Internet

Thermal Application Engineer Vinci4D.ai We are building an AI assistant for hardware design. Our product helps engineers explore, analyze, and optimize hardware systems, integrating cutting edge AI with the realities of engineering design workflows. Role Overview We are seeking a Thermal Application Engineer who will work directly with customers to run and validate their test cases through our product. You'll act as a bridge between our technology and our users, ensuring that customer needs are understood, test cases are well executed, and results are actionable. Additionally, you will help customers with questions about how to use our software and also provide training on using new features. You'll collaborate closely with our customers, as well as our product and engineering teams to help customers evaluate and deploy AI assisted workflows. This position requires a strong thermal engineering foundation-you should be comfortable owning thermal analysis discussions with customers (heat transfer, CFD/FEA thermal simulation, cooling architecture, derating/reliability implications, etc.). Responsibilities Work directly with customers to run, debug, and validate thermal design test cases using our AI assistant. Collaborate with customers' engineers to interpret results, provide insights, and recommend workflows. Document use cases, best practices, and lessons learned for internal and customer facing knowledge bases. Provide feedback to the product and engineering teams to improve features, accuracy, and user experience. Support customer onboarding, training, and integration of the AI assistant into existing design processes. Qualifications Required: Degree in Mechanical, Electrical, or Computer Engineering, or related technical discipline. 3+ years of thermal engineering experience in hardware product development or simulation workflows. Strong working knowledge of heat transfer, thermodynamics, and cooling strategies for electronics or physical systems. Strong ability to communicate technical results clearly to both engineers and non technical stakeholders. Hands on experience with engineering tools (CAD, simulation software, etc.). Preferred: Experience working in customer facing roles (applications engineering, solutions engineering, field engineering, or technical consulting). Strong problem solving mindset and ability to quickly learn new tools and workflows. Why Join Us Be part of a team defining the future of AI in hardware design. Work at the intersection of advanced AI, real world engineering, and customer success. Collaborate with world class engineers and researchers in a fast moving startup environment. Senior Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Technology, Information and Internet

Sales Engineer (Thermal Simulation Software) Join to apply for the Sales Engineer (Thermal Simulation Software) role at Vinci4D.ai. We are building an AI assistant for hardware design. Our product helps engineers explore, analyze, and optimize hardware systems, integrating cutting edge AI with the realities of engineering design workflows. Role Overview We are seeking a Sales Engineer based in the San Francisco Bay Area who will partner closely with prospective customers to demonstrate how our thermal simulation platform accelerates design decisions and improves product reliability. You'll be the technical voice in the sales cycle-showing value through hands on demos, performance evaluations, and solution architecture discussions. Your role bridges customer needs and our product strengths, ensuring clear alignment between business outcomes and engineering performance. This is a hybrid role, with the expectation of working three days per week in our Palo Alto office for close collaboration with Sales, Product, and Engineering. The role includes moderate travel, primarily within the United States, with infrequent international travel to key customers and events in Asia and Europe. This position requires a solid background in electronics thermal management-you should be comfortable leading conversations on heat transfer, thermal bottlenecks, multiphysics simulation workflows, and trade offs impacting manufacturability and reliability. Responsibilities Partner with sales to conduct product demos, scoping sessions, and proof of concept evaluations. Support customer technical teams during the evaluation phase, including simulation setup, model ingestion, and results interpretation. Support customer deployments, in collaboration with the Engineering team. Translate engineering pain points into compelling value propositions and ROI narratives. Document customer workflows and provide structured feedback to improve product features, usability, and onboarding. Deliver training sessions and presentations to help customers assess our technology confidently. Lead onsite presence at industry conferences and semiconductor events by delivering live product demonstrations, managing booth activities, and driving technical engagement with attendees. Maintain strong awareness of competitive technologies and market positioning. Qualifications Required Degree in Mechanical, Electrical, or related engineering field. 3+ years of electronics thermal engineering or simulation experience (CFD/FEA, Ansys ICEPAK, Siemens FLOTHERM, Cadence Celsius, etc.). Experience in pre sales, technical sales, or customer facing engineering roles. Strong problem solving mindset and ability to quickly learn new tools and workflows. Strong ability to communicate complex results clearly to a mixed audience (technical + business). Preferred Familiarity with semiconductor packaging and advanced cooling (cold plates, vapor chambers, 2.5D/3D IC, etc.). Ability to rapidly learn and adapt to new physics based workflows and AI assisted design tools. Experience with commercializing technical software-ideally EDA or simulation tools-into semiconductor and electronics companies. Why Join Us Be part of a team defining the future of AI in hardware design. Work at the intersection of advanced AI, real world engineering, and customer success. Collaborate with world class engineers and researchers in a fast moving startup environment. Seniority level Mid Senior level Employment type Full time Job function Sales and Business Development Industries Technology, Information and Internet

A cutting-edge technology company is seeking a Sales Engineer (Thermal Simulation Software) based in the San Francisco Bay Area. In this hybrid role, you will partner with customers to demonstrate how our thermal simulation platform can accelerate design decisions and enhance product reliability. The ideal candidate will have a strong background in electronics thermal engineering and experience in pre-sales or customer-facing roles. This position includes conducting product demos, supporting customer evaluations, and translating complex engineering concepts into compelling solutions.

A technology-driven engineering firm in San Francisco is seeking a C++ Engineer with over 5 years of experience in software engineering. The role involves shipping high-performance application-level C++ systems, developing algorithms, maintaining production code, and collaborating across teams. Ideal candidates should have expertise in concurrency, debugging, and Linux internals, providing a robust foundation to contribute to innovative engineering solutions. Competitive salary, flexible time off, and remote-friendly policies are included.

Overview Join to apply for the Frontend Software Engineer role at Vinci4D.ai. We're building a co-pilot for hardware designers. Our mission is to enable millions of hardware designers + engineers to iterate through designs 1000x faster. (Our system solves highly ill-conditioned 500M degree of freedom in 60 seconds, without hallucinations). We are building our geometry + physics-driven foundation model for nm to cm scale designs First model shipped and now expanding! Backed by Khosla and Eclipse Ventures. About the Role We're looking for an experienced Front-End Engineer with serious Three.js skills and a solid understanding of how to bring interactive 3D content into the modern React stack using React Three Fiber. If you're the kind of developer who loves solving complex rendering challenges, building immersive visualizations, and turning 3D data into intuitive, performant interfaces-this role is for you. You'll be a key contributor to a product that blends UI/UX precision with real-time 3D, leveraging Next.js for application structure and performance, and Three.js/R3F for rendering. Responsibilities Build and maintain front-end features using React, Next.js, and React Three Fiber. Design and implement interactive 3D scenes using Three.js, with an emphasis on performance and responsiveness. Integrate shaders, materials, cameras, lighting, and geometry into a coherent user-facing application. Ensure rendering logic coexists cleanly with UI components and state management. Write reliable, testable code using Jest and Playwright. Participate in code reviews and technical discussions with a focus on maintainability and scalability. Contribute to performance tuning of large or complex 3D scenes. Required Qualifications 1-2+ years of hands-on Three.js experience (not just tutorials-real-world projects). Experience with React Three Fiber (R3F) and how it bridges Three.js into React's declarative model. Familiarity with shaders (GLSL), custom materials, and WebGL rendering pipelines. Strong understanding of component architecture, hooks, and React ecosystem tools. Working knowledge of Next.js for routing, performance optimization, and SSR. A strong eye for UI/UX, particularly in the context of 3D interaction. Comfortable writing tests and practicing clean coding principles. Nice to Have Experience with post-processing effects, instancing, or GPU optimization techniques. Familiarity with state management with React Context. Experience working with canvas-based or shader-heavy applications. Contributions to open-source libraries in the Three.js or React ecosystem. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet

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 computing environments, secure networking infrastructure, and cloud integrations to accelerate development. We're looking for a C++-heavy engineer who writes production application code - owning features end-to-end and making them consumable by customers. Role Summary This role focuses on shipping application-level C++ systems that are both highly performant and broadly useful. You will implement parsers, simulation/inference pipelines, and distributed execution engines that scale across many CPUs and hosts (from modest clusters up through environments spanning hundreds of CPUs). You'll balance algorithmic design, systems programming, and pragmatic software engineering to deliver production features-not just micro-optimizations. What You'll Do Implement and maintain production C++ application code (C+/17/20) across parsing, simulation, and inference pipelines. Build robust file parsers and import pipelines for formats such as OAS, GDS, ECXML, STL, STEP, and other domain formats used in hardware/layout tooling. Design and implement algorithms and data structures for large datasets: streaming parsing, memory-efficient representations, and zero-copy APIs where appropriate. Improve inference and simulation performance end-to-end: profiling, algorithmic improvements, vectorization, multi-threading, and selective use of accelerators. Architect and implement distributed execution of simulation/compute workloads that can scale across many CPUs and hosts - job partitioning, scheduling, fault tolerance, and results aggregation - ensuring the work integrates cleanly with application-level APIs. Integrate native C++ components with higher-level services (Python bindings, gRPC APIs, protobufs) so features are consumable by customers and downstream systems. Own the full lifecycle of features: design, implementation, testing, CI/CD, packaging, documentation, and production rollout. Write and maintain unit/integration tests, fuzz tests, and performance benchmarks; use CI to enforce correctness and prevent regressions. Profile and debug complex issues using tools like perf, gdb, sanitizers (ASan/TSan), valgrind, and CPU/heap profilers; tune memory and CPU usage. Participate in code and design reviews; mentor junior engineers and promote engineering best practices. Collaborate with product and customer success teams to ensure features meet customer needs and are easy to consume. Required Qualifications Minimum 5+ years professional software engineering experience, with a strong focus on C++. Strong production experience in modern C++ (C++) including templates, RAII, move semantics, and modern idioms. Proven experience implementing non-trivial application logic (parsers, algorithms, data structures), not just micro-optimizations. Deep understanding of Linux internals: processes, threads, scheduling, signals, memory management, and syscalls. Expertise in concurrency: threads, mutexes, atomics, memory model, condition variables, and designing safe concurrent systems. Hands-on experience with debugging and profiling tools (perf, gdb, sanitizers, profilers). Experience working in large-scale codebases: modular design, safe refactors, cross-module interfaces, and collaborative development. Strong engineering discipline: testing, CI/CD, clear documentation, and reliable release practices. Excellent communication skills and demonstrated ownership of end-to-end features. Preferred / Bonus Skills Familiarity with EDA/layout file formats (OAS, GDS, ECXML, etc) and domain XML schemas. Experience integrating C++ with Python (pybind11, CPython APIs) and exposing gRPC/protobuf APIs. Experience distributing compute with MPI, task queues, or custom job schedulers; knowledge of Kubernetes, Slurm, or HPC schedulers. GPU acceleration experience (CUDA/ROCm) or writing GPU-aware C++ code for inference/simulation. Experience with PostgreSQL or other relational DBs for metadata and operational tooling. Familiarity with build systems and tooling: CMake, LTO, cross-compilation, and packaging. Knowledge of binary serialization (protobuf, FlatBuffers), zero-copy techniques, and high-performance I/O (io_uring). Frontend familiarity (React) for building or collaborating on internal UIs. Cloud and infra experience (GCP/AWS, Terraform) and operating HPC/GPU clusters. What We Value Engineers who take ownership, ship features that customers can use, and follow through on operational responsibilities. Pragmatism and systems rigor: shipping maintainable code that meets performance goals. Curiosity to dive into low-level system behavior and empathy to make features easy for others. Strong collaboration: clear communication, thoughtful reviews, and mentoring. Competitive salary, equity, health benefits, flexible time off, and remote-friendly policies. Final compensation depends on experience and location.

Graphics and Visualization Software Engineer We're building a co-pilot for hardware designers. Our mission is to enable millions of hardware designers + engineers to iterate through designs 1000x faster. (Our system solves highly ill-conditioned 200M degree of freedom in 13 seconds, without hallucinations) We are building our geometry + physics-driven foundation model for nm to cm scale designs The first model shipped and is now expanding! Backed by Khosla and Eclipse Ventures. Your Responsibilities Lead the end-to-end graphics pipeline-from architectural planning through deployment-to enable real-time visualization of designs spanning from meters down to nanometers. Explore and implement advanced rendering strategies (e.g., hybrid client-server rendering, LOD techniques) to deliver a seamless, high-fidelity user experience. Collaborate closely with cross-functional teams (geometry, physics, product) to integrate scientific field overlays into 3D models, empowering hardware engineers with unprecedented insight. Ship core product features that revolutionize hardware design iteration speeds by orders of magnitude. Continuously learn, experiment, and innovate to build products that delight and transform engineering workflows. Your Qualifications 5+ years of hands-on experience delivering high-performance graphics and rendering solutions. Expertise in WebGL, WebGPU, OpenGL, CUDA/Hip, and GPU ecosystems (Nvidia and AMD). Proven ability to render complex data structures, including 3D geometry (triangles, B-Rep, SDFs), scientific fields, and more. Track record of developing interactive, web-based geometry editing UIs that handle large-scale data. Strong proficiency in parallel programming, optimization techniques, algorithms, and data structures. Passion for building groundbreaking visualization experiences that reshape how engineers approach design. Entrepreneurial mindset with a knack for taking projects from zero to one, coupled with a hunger for continuous learning. Thrives in an environment that values autonomy, ownership, and relentless innovation. Location Office in Palo Alto, CA (2 mins walk from Caltrain station), 3 days in person. Benefits and perks Competitive compensation & equity (stock options) Lunch, drinks, and snacks provided for in-person days Seniority level : Mid-Senior level Employment type : Full-time Job function : Engineering and Information Technology Industries : Technology, Information and Internet

Application Engineer - Vinci4D.ai Join to apply for the Application Engineer role at Vinci4D.ai We are building an AI assistant for hardware design. Our product helps engineers explore, analyze, and optimize hardware systems, integrating cutting edge AI with the realities of engineering design workflows. Role Overview We are seeking an Application Engineer who will work directly with customers to run and validate their test cases through our product. You'll act as a bridge between our technology and our users, ensuring that customer needs are understood, test cases are well executed, and results are actionable. Additionally, you will help customers with questions about how to use our software and also provide training on using new features. You'll collaborate closely with our customers, as well as our product and engineering teams to help customers evaluate and deploy AI assisted workflows. A strong foundation in hardware design is essential, and experience with thermal problems (thermal analysis, heat transfer, cooling strategies) is highly preferred. Responsibilities Work directly with customers to run their design test cases through our AI assistant. Collaborate with customers' hardware engineers to interpret results, provide insights, and recommend workflows. Document use cases, best practices, and lessons learned for internal and customer facing knowledge bases. Provide feedback to the product and engineering teams to improve features, accuracy, and user experience. Support customer onboarding, training, and integration of the AI assistant into existing design processes. Qualifications Required Degree in Mechanical, Electrical, or Computer Engineering, or related technical discipline. 3+ years experience working in hardware design, simulation, or engineering workflows. Strong ability to communicate technical results clearly to both engineers and non technical stakeholders. Hands on experience with engineering tools (CAD, simulation software, etc.). Preferred Background in thermal problems (e.g., heat transfer, cooling strategies, thermal analysis). Experience working in customer facing roles (applications engineering, solutions engineering, field engineering, or technical consulting). Strong problem solving mindset and ability to quickly learn new tools and workflows. Why Join Us Be part of a team defining the future of AI in hardware design. Work at the intersection of advanced AI, real world engineering, and customer success. Collaborate with world class engineers and researchers in a fast moving startup environment.

A tech company focusing on AI hardware solutions is seeking a Thermal Application Engineer. The role involves collaborating with customers to run and validate thermal design tests, providing insights, and supporting onboarding. Candidates should have a degree in a relevant engineering field and at least 3 years of experience in thermal engineering. Join a dynamic team working at the intersection of AI and engineering.