Senior GPU Accelerated Libraries Engineer

NVIDIA Corporation; Zürich; On-site; CHF 140,000 - 220,000; Full time

Job summary

NVIDIA Corporation in Zürich seeks an experienced researcher/software engineer to design, develop, and optimize GPU-accelerated data processing libraries. You will tackle scalable numerical algorithms, benchmark performance, and contribute to roadmaps across multiple architectures.

The role requires a PhD/MSc in a relevant field and 5+ years of high-performance parallel computing with CUDA, plus strong C/C++ skills and leadership experience. Fluency in Python is a plus.

Qualifications

• PhD or MSc preferred (or equivalent experience).
• 5+ years experience in high-performance parallel numerical applications with GPU acceleration using CUDA.
• Strong C/C++ programming and software development skills.
• Proven experience leading and completing software projects.
• Excellent collaboration, communication, and documentation habits.

Responsibilities

• Develop scalable library software using modern tools and languages for numerical methods.
• Performance tuning, optimization, and benchmarking of algorithms on various architectures.
• Collaborate with leadership and partners to shape library feature roadmaps.
• Provide technical leadership and guidance to library engineers.
• Identify opportunities to improve user experience and library performance.

Skills

C/C++

CUDA

Parallel computing

Team leadership

Python

Documentation

Education

PhD or MSc in Computational Science, Computer Science, Applied Math, or related field

Tools

JIRA

CI/CD

Job description

NVIDIA Corporation in Zürich seeks an experienced researcher/software engineer to design, develop, and optimize GPU-accelerated data processing libraries. You will tackle scalable numerical algorithms, benchmark performance, and contribute to roadmaps across multiple architectures.

The role requires a PhD/MSc in a relevant field and 5+ years of high-performance parallel computing with CUDA, plus strong C/C++ skills and leadership experience. Fluency in Python is a plus.