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NVIDIA Software Engineer: GPU-Accelerated Deep Learning Expert
2 months ago
We are seeking an exceptional Software Engineer to join our team at NVIDIA, working on our GPU-accelerated library of primitives for deep neural networks. The ideal candidate will have a strong background in software development, particularly in C/C++ and CUDA development, and experience with linear algebra, machine learning, and computer architecture.
Responsibilities:
- Develop production-quality software that ships as part of NVIDIA's AI software stack, including optimized large language model support.
- Analyze the performance of important workloads, tuning our current software, and proposing improvements for future software.
- Collaborate with cross-functional teams of deep learning software engineers and GPU architects to drive innovation across applications like generative AI, autonomous driving, computer vision, and recommender systems.
- Stay up-to-date with the latest trends in machine learning and adapt our software to meet the evolving needs of the AI industry.
- Mentor junior engineers on the team.
Requirements:
- M.S. degree in computer science or equivalent experience.
- Strong programming skills in C/C++ development, work experience with CUDA development, and familiarity with Python.
- Good understanding of linear algebra.
- Familiarity with the latest trends in machine learning.
- Experience designing high-level software architecture.
- Experience with performance analysis, profiling, and code optimization.
- Ability to work independently, define project goals and scope, and lead own development effort.
Preferred Qualifications:
- GPU programming and optimization expertise (e.g. CUDA or OpenCL).
- Practical experience with machine learning, especially deep learning.
- Experience with computer architecture and building performance models for CPUs, GPUs, or other accelerators.
- Excellent problem-solving skills, including applications of algorithms and data structures.
- Strong experience with data science, statistical analysis, and visualization.
