Senior GPU-Accelerated Image & Data Libraries Engineer

NVIDIA; Warszawa; On-site; PLN 375,000 - 650,000; Full time

Job summary

NVIDIA is seeking a senior, highly experienced software engineer to design, develop, and optimize GPU-accelerated library software. You will lead parallel numerical applications, drive performance across architectures, and mentor engineers while coordinating with product management on library roadmaps.

Ideal candidates have 12+ years of experience with CUDA, strong C/C++ skills, and a track record of delivering complex software projects.

Qualifications

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

Responsibilities

• 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.

Skills

CUDA

C/C++ programming

Parallel computing

Software design

Leadership

Communication

Education

PhD or MSc in Computational Science/CS/Applied Math or related field

Tools

CI/CD

JIRA

Job description

NVIDIA is seeking a senior, highly experienced software engineer to design, develop, and optimize GPU-accelerated library software. You will lead parallel numerical applications, drive performance across architectures, and mentor engineers while coordinating with product management on library roadmaps.

Ideal candidates have 12+ years of experience with CUDA, strong C/C++ skills, and a track record of delivering complex software projects.