Senior AI & Quant HPC Engineer (CUDA/GPU) – Hybrid

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; 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 Senior AI and Quant DevTech Engineer to push performance at the intersection of AI, HPC, and financial markets. You will design and optimize parallel algorithms, work on GPUs and CPUs, and remove bottlenecks across the stack to unlock cutting-edge processing hardware.

You will collaborate with leading experts, influence future hardware and software, publish your findings, and contribute to production deployment of optimized AI models and

Qualifications

• Strong hands-on experience with CUDA and parallel programming.
• Deep understanding of CPU/GPU architecture fundamentals and performance impact.
• Master’s or PhD in Computer Science, Computer Engineering, Electrical and Computer Engineering, or related field.
• Fluency in C/C++ and solid algorithms/software design.
• 5+ years of relevant work or research experience.
• Proven experience improving performance of large-scale computational apps on GPUs.

Responsibilities

• Design and develop techniques to accelerate high-performance workloads at AI, math, and financial systems intersection.
• Collaborate with experts to analyze, optimize, and scale AI/HPC workloads on CPU/GPU architectures.
• Profile and eliminate bottlenecks across the stack from algorithms to system behavior.
• Publish and present work at conferences, talks, and blogs to educate the community.
• Influence hardware/software design by collaborating with NVIDIA research, hardware, compiler, and tools teams.

Skills

CUDA & parallel programming

CPU/GPU architecture basics

Performance tuning

C/C++ programming

Strong communication

Education

Master's or PhD in CS/CE/EE or related

Tools

TensorRT

cuTile

CUDA toolkit

Job description

NVIDIA Corporation in Santa Clara, CA is seeking a Senior AI and Quant DevTech Engineer to push performance at the intersection of AI, HPC, and financial markets. You will design and optimize parallel algorithms, work on GPUs and CPUs, and remove bottlenecks across the stack to unlock cutting-edge processing hardware.

You will collaborate with leading experts, influence future hardware and software, publish your findings, and contribute to production deployment of optimized AI models and