Senior AI & HPC Libraries Architect

NVIDIA; Poland; On-site; PLN 221,000 - 507,000; Full time

Job summary

NVIDIA is seeking a highly skilled software engineer to design, develop, and optimize GPU-accelerated data processing libraries. You will contribute to projects like DALI and nvImageCodec, driving performance and scalability across CPU/GPU architectures in a collaborative, globally distributed team.

Ideal candidates have 5+ years in high-performance numerical computing, CUDA, and strong C/C++ skills, with proven leadership and excellent communication.

Qualifications

• PhD or MSc in Computational Science, Computer Science, Applied Math, or related field preferred (or equivalent).
• 5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern platforms, with GPU acceleration using CUDA.
• Strong C/C++ programming and software development skills.
• Proven experience leading and completing software development projects.
• Strong collaboration, communication, and documentation habits.

Responsibilities

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

Skills

CUDA

C/C++ programming

High-performance computing

Technical leadership

Python

Education

PhD or MSc in Computational Science/CS/Applied Math

Job description

NVIDIA is seeking a highly skilled software engineer to design, develop, and optimize GPU-accelerated data processing libraries. You will contribute to projects like DALI and nvImageCodec, driving performance and scalability across CPU/GPU architectures in a collaborative, globally distributed team.

Ideal candidates have 5+ years in high-performance numerical computing, CUDA, and strong C/C++ skills, with proven leadership and excellent communication.