Software Engineer - Image and Data Processing Libraries

NVIDIA Corporation; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

NVIDIA Corporation seeks a senior HPC/library engineer to design, implement, and optimize CUDA-accelerated software libraries. You will work on scalable, cross-functional projects influencing image, video, and scientific computing workloads across platforms.

The ideal candidate holds a PhD or MSc in a relevant field, 12+ years of experience, and strong C/C++/CUDA skills, with proven leadership in complex software efforts and excellent collaboration and documentation habits.

Qualifications

• PhD or MSc in Computational Science, CS, Applied Math or related field preferred.
• 12+ years of experience in developing high-performance parallel numerical apps on modern GPUs.
• Expertise in CUDA and C/C++ programming and software design.
• Proven track record leading and completing software projects.

Responsibilities

• Develop scalable library software for CUDA-accelerated workloads.
• Collaborate with product management and partners to define features and performance goals.
• Provide technical leadership and guidance to library engineers.
• Identify opportunities to optimize performance and enable architectural refactors.

Skills

CUDA

C/C++

Parallel computing

Python

Education

PhD or MSc in Computational Science/CS/Applied Math

Tools

CI/CD tools

JIRA

Job description

Join our multidisciplinary team and help build and improve GPU and CPU accelerated software libraries. Projects like nvComp, NPP, nvJPEG, nvJPEG2000, nvTIFF, nvImageCodec are used in all kinds of processing workflows and support NVIDIA's vision and growth. Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide. In this role, you will design, develop, and optimize pioneering algorithms. Ideal candidates will have experience with accelerated computing and a passion for advancing the state-of-the-art in various computing domains.

Задачи:

developing scalable library software using modern tools and languages for various numerical method performance tuning, optimization, and benchmarking of algorithms on various architectures. working closely with product management and other internal and external partners to understand feature and performance requirements and contributing to the technical roadmaps of libraries, providing technical leadership and guidance to library engineers working with you, find opportunities to improve library performance and abstractions that allow to re-architect code for reduced maintenance cost.

What we need to see:

PhD or MSc's degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience). 12+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA Excellent C/C++ programming and software design skills Proven experience in leading and completing software development projects. Excellent collaboration, communication, and documentation habits.

Требования:

• Good knowledge of CPU and/or GPU hardware architecture,
• Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA,
• Experience with working in a globally distributed organization,
• Advanced skills in debugging, profiling, and testing for accuracy and performance,
• A scripting language, preferably Python.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

For Poland: The base salary range is 375,000 PLN - 650,000 PLN.