Senior GPU-Accelerated Libraries Engineer

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

Job summary

NVIDIA Corporation in Zürich seeks a senior software engineer to design, develop, and optimize high-performance data processing libraries with GPU acceleration.

You will work on projects like DALI and nvImageCodec, collaborate with leadership, and drive performance improvements across AI, analytics, image processing, and scientific simulations. The role requires 5+ years of experience, a PhD or MSc in a relevant field, strong C/C++, CUDA expertise, and proven project leadership.

Qualifications

• PhD or MSc in Computational Science, Computer Science, Applied Math, or related field (or equivalent experience).
• 5+ years of experience developing and optimizing high-performance parallel numerical applications with GPU acceleration using CUDA.
• Strong C/C++ programming and software development skills.
• Proven experience leading and completing software development 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 define feature and performance roadmaps.
• Provide technical leadership to library engineers.
• Identify opportunities to improve user experience and library performance.

Skills

CUDA

C/C++

GPU programming

Parallel computing

Software leadership

Education

PhD or MSc in Computational Science/CS/Applied Math

Tools

JIRA

CI/CD

Job description

NVIDIA Corporation in Zürich seeks a senior software engineer to design, develop, and optimize high-performance data processing libraries with GPU acceleration.

You will work on projects like DALI and nvImageCodec, collaborate with leadership, and drive performance improvements across AI, analytics, image processing, and scientific simulations. The role requires 5+ years of experience, a PhD or MSc in a relevant field, strong C/C++, CUDA expertise, and proven project leadership.