Senior Software Engineer - Image and Data Processing Libraries

at Nvidia

📍 Poland

PLN 375,000-650,000 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Algorithms CI/CD @ 4 CUDA @ 8 Communication @ 6 Computer Vision Debugging @ 8 GPU @ 8 Jira @ 4 Mathematics @ 4 Product Management @ 4 Profiling @ 6 Project Management @ 4 Python @ 4 Software Development @ 4 Technical Leadership

Details

Join a multidisciplinary team to build and improve GPU- and CPU-accelerated software libraries, including nvComp, NPP, nvJPEG, nvJPEG2000, nvTIFF, and nvImageCodec. These libraries support AI, data analytics, image processing, computer vision, and scientific simulation workflows for commercial and academic organizations worldwide.

The role involves designing, developing, and optimizing advanced algorithms for accelerated computing and other computing domains.

Responsibilities

Develop scalable library software using modern tools and languages for various numerical methods.
Tune performance, optimize algorithms, and benchmark them across various architectures.
Work closely with product management and internal and external partners to understand feature and performance requirements.
Contribute to the technical roadmaps of software libraries.
Provide technical leadership and guidance to library engineers.
Identify opportunities to improve library performance and develop abstractions that enable code re-architecture and reduced maintenance costs.

Requirements

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