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# Software Engineer

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Computational Fluid Dynamics, 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, Systems Integration, Graphics Processing Unit (GPU), Model Validation, Gpu Programming, Information Technology, Free and Open-Source Software, Data Pipelines
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_ScrapingHub33470-JR2022492

## About the Role

What we need to see: + 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.