Senior GPU Architect — Accelerated Computing & Performance

NVIDIA Corporation; United States; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity and benefits

Job summary

NVIDIA Corporation is seeking a Senior Accelerated Computing Architect to advance software and system architectures for accelerated high performance computing, AI, and automotive computing. You will push performance on NVIDIA GPUs, design efficient parallel algorithms, and collaborate across hardware and software teams.

You will analyze, optimize, and contribute to publications and technical disclosures, ensuring the best possible accuracy and impact in fast-moving, technology-focused

Qualifications

• MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience.
• 6+ years of relevant work experience.
• Strong mathematical fundamentals, including linear algebra and numerical methods.
• Hands-on experience with massively parallel GPU programming model (CUDA/OpenCL).
• Strong knowledge of C and C++ with good software design and algorithms.

Responsibilities

• Perform in-depth analysis and optimization to maximize performance on current/next-gen NVIDIA GPUs.
• Create and optimize core parallel algorithms, data structures, and reference codes for NVIDIA GPUs.
• Understand hardware/software interplay on core algorithms, programming models, and applications.
• Collaborate with hardware design, software engineering, product, and research teams to guide accelerated computing direction.
• Document work through white papers, conference publications, blog posts, or patents as appropriate.

Skills

C/C++ programming

Parallel computing

Performance optimization

Communication skills

Education

MS/PhD in CS/CE/EE

Tools

CUDA

OpenCL

MPI/OpenSHMEM

Python

Job description

NVIDIA Corporation is seeking a Senior Accelerated Computing Architect to advance software and system architectures for accelerated high performance computing, AI, and automotive computing. You will push performance on NVIDIA GPUs, design efficient parallel algorithms, and collaborate across hardware and software teams.

You will analyze, optimize, and contribute to publications and technical disclosures, ensuring the best possible accuracy and impact in fast-moving, technology-focused