Senior Engineer, Warp CUDA Python - HPC & AI Equity

Nvidia Corporation in; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is hiring a Senior Software Engineer for NVIDIA Warp in the Finance group. You will own the end-to-end adoption path for Warp in computational applications, implementing CUDA/C++ changes and ensuring production integration across NVIDIA platforms.

You will turn CUDA features into Warp functionality, collaborate with internal teams, and design improvements that expand capabilities for simulation, optimization, and AI workloads. Strong CUDA C++ and Python experience are required.

Qualifications

• 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.
• Substantial work building, optimizing, and supporting computational software used in research or production, involving numerical methods, model validation, or scientific data pipelines.

Responsibilities

• Own 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 Warp functionality that improves performance and portability across generations of NVIDIA platforms.
• Partner with internal engineering teams to integrate Warp into their software, resolve barriers, and support production adoption.
• Select and integrate CUDA-X libraries and other computing technologies, exposing them through Python and native APIs.
• Design and implement Warp improvements that expand researchers' and developers' capabilities, including new APIs and reusable building blocks for simulation, optimization, and AI workloads.

Skills

CUDA C++

Python

GPU architectures

Performance profiling

CUDA-X libraries

Python GPU programming

Education

BS/MS/PhD in Computational Science/Engineering or related field

Tools

CUDA

CUDA-X libraries

Job description

NVIDIA is hiring a Senior Software Engineer for NVIDIA Warp in the Finance group. You will own the end-to-end adoption path for Warp in computational applications, implementing CUDA/C++ changes and ensuring production integration across NVIDIA platforms.

You will turn CUDA features into Warp functionality, collaborate with internal teams, and design improvements that expand capabilities for simulation, optimization, and AI workloads. Strong CUDA C++ and Python experience are required.