> Markdown version of [/jobs/ext/2037398-senior-software-engineer-nvidia-warp](https://www.wearedevelopers.com/jobs/ext/2037398-senior-software-engineer-nvidia-warp). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - NVIDIA Warp - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, C++ (Programming Language), Computational Fluid Dynamics, Compilers, Profiling, Nvidia CUDA, Computer Engineering, Comsol Multiphysics, Continuous Integration, Software Debugging, Microprocessors, Python (Programming Language), Open Source Technology, Performance Tuning, Scientific Computating, Simulation Software, Software Engineering, Graphics Processing Unit (GPU), Model Validation, Gpu Programming, Information Technology, Free and Open-Source Software, Ansys, Data Pipelines - **Published:** August 12, 2026 - **Apply:** https://www.disabledperson.com/jobs/74201957-senior-software-engineer-nvidia-warp ## About the Role * A BS, MS, or PhD in Computational Science and Engineering, Computational Physics, Electrical Engineering, Computer Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science with a focus on scientific computing, or a related computational engineering field, or equivalent experience. * 8+ years of relevant software development experience in industry, academic research, or a combination of both. * Significant professional or academic research experience building, debugging, profiling, and optimizing performance-critical CUDA C++ software for NVIDIA GPUs, including diagnosing performance and correctness issues involving parallel execution, GPU architecture, and memory behavior. * Substantial work building, optimizing, and supporting computational software used in research or production, involving numerical methods, model validation, or scientific data pipelines. Ways to stand out from the crowd: * Ownership of framework integrations from prototype through production across multiple software projects. * Hands-on experience designing and optimizing software for systems that combine CPUs, GPUs, memory, and high-speed interconnects, including data placement, communication, and architecture-aware performance tuning. * Experience defining and evolving Python GPU programming systems across user-facing programming models, compilers, runtimes, and kernel libraries. * Experience shipping and maintaining production-quality open-source software, including testing, CI/CD, packaging, compatibility, and release practices within a large distributed team. * Hands-on experience developing, extending, or integrating commercial or open-source simulation software for multiphysics, CFD, semiconductor process or device simulation (TCAD), molecular dynamics, or related computational workloads. Examples include Ansys Fluent, Siemens Simcenter STAR-CCM+, COMSOL Multiphysics, OpenFOAM, LAMMPS, and GROMACS. ## Description * Own and improve the end-to-end technical path for adopting Warp in computational applications, from native C++ and CUDA changes through production integration, validation, and long-term compatibility. * Turn new CUDA features and programming models into supported Warp functionality that improves performance and portability across successive generations of NVIDIA accelerated-computing platforms and opens new application domains. * Partner with internal engineering teams, including those behind ALCHEMI, BioNeMo, PhysicsNeMo, and Kit-CAE, to integrate Warp into their software, resolve technical barriers, and support production adoption. * Select and integrate CUDA-X libraries and other computing technologies when they address recurring technical gaps, exposing them through consistent Python and native APIs. * Design and implement Warp improvements that expand what researchers and developers can accomplish, including new APIs, programming abstractions, and reusable building blocks for simulation, optimization, and AI workloads. ## Related Videos - [Just-in-time Compilation in JVM](https://www.wearedevelopers.com/videos/240-just-in-time-compilation-in-jvm) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Cloud Vendor Lock-In - Is it just a new version of the Database Abstraction Layers?](https://www.wearedevelopers.com/videos/1185-cloud-vendor-lock-in-is-it-just-a-new-version-of-the-database-abstraction-layers) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/1521-accelerating-python-on-gpus) - [Enhancing Workload Security in Kubernetes](https://www.wearedevelopers.com/videos/356-enhancing-workload-security-in-kubernetes) ## Related Articles - [What’s the latest in NVIDIA CUDA Python](https://www.wearedevelopers.com/magazine/568-what-s-the-latest-in-nvidia-cuda-python) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [Is Software Engineering Hard?](https://www.wearedevelopers.com/magazine/448-is-software-engineering-hard) - [Software Engineer Career: Things You Should Know](https://www.wearedevelopers.com/magazine/143-software-engineer-career-things-you-should-know)