Senior GPU-Accelerated Libraries Engineer

NVIDIA Corporation; United Kingdom; On-site; GBP 90,000 - 140,000; Full time

Job summary

NVIDIA Corporation seeks a highly skilled engineer to design, develop, and optimize GPU-accelerated data processing libraries. You will work on projects like DALI or nvImageCodec, driving performance across CPU/GPU architectures and enabling scale across workloads.

Ideal candidates have a PhD/MSc in a computational field, 5+ years of parallel numerical software experience, and fluency in Python. Join a collaborative team shaping state-of-the-art computing solutions at NVIDIA.

Qualifications

• PhD or MSc in Computational Science, Computer Science, Applied Math or related field.
• 5+ years of developing, debugging, optimizing high-performance parallel numerical apps with CUDA.
• Proven C/C++ software development experience.
• Experience leading and completing software development projects.
• Strong collaboration, communication and documentation habits.

Responsibilities

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

Skills

CUDA

C/C++

Python

Leadership

Education

PhD or MSc in Computational Science / CS / Applied Math

Tools

JIRA

CI/CD

Job description

NVIDIA Corporation seeks a highly skilled engineer to design, develop, and optimize GPU-accelerated data processing libraries. You will work on projects like DALI or nvImageCodec, driving performance across CPU/GPU architectures and enabling scale across workloads.

Ideal candidates have a PhD/MSc in a computational field, 5+ years of parallel numerical software experience, and fluency in Python. Join a collaborative team shaping state-of-the-art computing solutions at NVIDIA.