GPU Cluster Performance Engineer - RDMA & Scaling

AMD; Austin (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

AMD in Austin, TX, is seeking a talented GPU Cluster Network Performance Attainment Engineer to optimize GPU clusters for peak performance. The ideal candidate will evaluate scalability, perform benchmarking, and implement performance tuning strategies while collaborating with hardware and software teams.

This position requires a deep understanding of GPU architectures, RDMA networks, and performance optimization methodologies. A degree in electrical or computer engineering is preferred. Benefits include comprehensive AMD perks, and this role does not offer visa sponsorship.

Qualifications

• Proven experience in optimizing the performance of GPU clusters.
• Strong understanding of GPU architectures and parallel computing concepts.
• Experience with network protocols used in GPU clusters.

Responsibilities

• Evaluate scalability of GPU clusters under various workloads.
• Utilize profiling tools to analyze performance bottlenecks.
• Implement optimization strategies for performance tuning.
• Collaborate with cross-functional teams to enhance GPU cluster performance.
• Develop benchmarking strategies to assess performance.

Skills

Optimization of GPU clusters

Understanding of RDMA network drivers

Scripting languages (Python, Bash)

System-level performance analysis tools

Excellent communication and collaboration skills

Linux kernel networking expertise

Analytical mindset and problem-solving skills

Machine learning and/or HPC system design

Education

Bachelor’s or Master’s degree in electrical or computer engineering

Job description

AMD in Austin, TX, is seeking a talented GPU Cluster Network Performance Attainment Engineer to optimize GPU clusters for peak performance. The ideal candidate will evaluate scalability, perform benchmarking, and implement performance tuning strategies while collaborating with hardware and software teams.

This position requires a deep understanding of GPU architectures, RDMA networks, and performance optimization methodologies. A degree in electrical or computer engineering is preferred. Benefits include comprehensive AMD perks, and this role does not offer visa sponsorship.