Senior GPU AI & Quant HPC Engineer

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara is seeking a software engineer with a strong background in parallel processing and GPU architecture to push performance at the intersection of AI, high‑performance computing, and financial markets.

You will design and optimize CUDA-based workloads, profile bottlenecks across the stack, and collaborate with NVIDIA researchers to shape future platforms. This role offers opportunities to publish findings and contribute to high‑impact projects with equity and benefits.

Qualifications

• Master’s or PhD in CS/CE or related field.
• 5+ years of relevant work or research experience.
• Strong CUDA and parallel programming experience.
• Fluency in C/C++ and solid algorithms foundation.
• Deep understanding of CPU/GPU architectures and performance.

Responsibilities

• Design and develop techniques to accelerate high‑performance AI/HPC workloads.
• Analyze, optimize, and scale workloads for CPU/GPU architectures.
• Profile and eliminate bottlenecks from algorithms to system behavior.
• Publish and present work at conferences, talks, and blogs.
• Influence future hardware/software via collaboration with NVIDIA teams.

Skills

CUDA

Parallel programming

C/C++

CPU/GPU architecture

Performance optimization

Communication skills

Education

Master’s or PhD in Computer Science/Computer Engineering/ECEN or related field

Job description

NVIDIA in Santa Clara is seeking a software engineer with a strong background in parallel processing and GPU architecture to push performance at the intersection of AI, high‑performance computing, and financial markets.

You will design and optimize CUDA-based workloads, profile bottlenecks across the stack, and collaborate with NVIDIA researchers to shape future platforms. This role offers opportunities to publish findings and contribute to high‑impact projects with equity and benefits.