HPC Performance System Software Engineer — Profiling Tools

Nvidia Corporation in; Champaign (IL); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a System Software Engineer for HPC Performance in Illinois. You will enhance profiling tools (C/C++, Python) and collaborate with system architects, software and firmware engineers to deliver multi-functional software solutions across HPC, ML/DL, and AI workloads.

You will work with researchers and real-world developers to optimize computer systems, including embedded and automotive domains, and contribute to premier profiling tool development with cross‑disciplinary teams.

Qualifications

• BS, MS, or PhD in EE, CE, CS, or Systems Engineering (or equivalent).
• Minimum of 5 years of service in a related hardware/software position.
• Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred.
• Experience creating monitoring, profiling, or optimization software tools for developers working on large scale systems.

Responsibilities

• Enhance and expand network hardware and software profiling tools with C/C++ and Python.
• Collaborate with system architects and engineers across teams to drive requirements, designs, and execution.
• Work with researchers and developers on HPC, ML/DL, and AI workloads to improve performance.
• Build tools enabling developers to optimize workflows across HPC, cloud, and embedded domains.

Skills

C/C++

Python

Problem solving

Interpersonal skills

Education

BS in EE/CE/CS/Systems Eng

MS/PhD preferred

Tools

C/C++ profiling tools

Python scripting

Job description

NVIDIA is seeking a System Software Engineer for HPC Performance in Illinois. You will enhance profiling tools (C/C++, Python) and collaborate with system architects, software and firmware engineers to deliver multi-functional software solutions across HPC, ML/DL, and AI workloads.

You will work with researchers and real-world developers to optimize computer systems, including embedded and automotive domains, and contribute to premier profiling tool development with cross‑disciplinary teams.