Senior AI/HPC GPU Engineer - Performance & Systems Expert

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

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

You will design and optimize CUDA‑based pipelines, collaborate with leading experts, and influence future hardware and software stacks while publishing your findings to the global developer community.

Qualifications

• 5+ years of relevant work or research experience.
• Strong hands-on experience with CUDA and parallel programming.
• Deep understanding of CPU/GPU architecture fundamentals and performance impact.
• Fluency in C/C++ and strong algorithms/software design skills.
• Excellent communication and organizational abilities.

Responsibilities

• Design and develop techniques to accelerate AI, math, and financial workloads.
• Analyze, optimize, and scale AI/HPC workloads for CPU and GPU architectures.
• Profile and eliminate bottlenecks from algorithms to system-level behavior.
• Publish talks and blogs to educate the developer community.
• Influence future hardware and software design with NVIDIA teams.

Skills

CUDA

Parallel programming

CPU/GPU architecture

C/C++

Algorithms

Communication skills

Education

Master's or PhD in CS/CE/EE

Tools

TensorRT

TensorRT-LLM

cuTile

Job description

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

You will design and optimize CUDA‑based pipelines, collaborate with leading experts, and influence future hardware and software stacks while publishing your findings to the global developer community.