Senior HPC and AI Networking Performance Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Conduct research and gain experience with AI workloads and deep learning models specifically designed for large-scale LLM training on NVIDIA supercomputers, emphasizing high-performance networking.

• Perform benchmarking, profiling, and analysis of performance to identify bottlenecks and areas for enhancement and optimization, particularly focusing on networking components.

• Develop and implement performance analysis tools.

• Work collaboratively with various teams, from hardware to software, to deliver insights on performance analysis.

• Establish performance testing strategies, set performance expectations for emerging technologies and solutions, and strive to achieve performance targets.

⛳️ Requirements

• Bachelor’s degree in Computer Science or Software Engineering.

• Over 6 years of experience in high-performance networking (RDMA, MPI, NCCL).

• Proven skills and methodologies in performance analysis.

• Familiarity with NVIDIA GPUs, CUDA libraries, and deep learning frameworks such as TensorFlow or PyTorch.

• Quick and self-motivated learner with strong analytical and problem-solving abilities.

• Proficient in programming languages: Python, Bash, and C.

• Experience with Linux operating system distributions.

• Effective team player with strong communication and interpersonal skills.

🏝️ Benefits

• NVIDIA is dedicated to promoting a diverse work environment and is proud to be an equal opportunity employer.