Summary

We are seeking a talented Software engineer to join our Durham, North Carolina team focused on Benchmarking, System Validation and Test Automation for large-scale distributed systems. In this role, you will be involved with writing applications to benchmark next-generation computing infrastructure at performance and scale with real-world Machine Learning workloads along with building system topologies to validate our customer use cases.

Roles and Responsibilities:

• Model and Benchmark large scale Machine Learning workloads 
• Characterize performance of distributed deep learning applications with data and model parallelism, and model sharding across devices and memories 
• Write applications, libraries and kernel modules that stress I/O technology capabilities including those that stress NCCL and CUDA GPU technology
• Develop low-level SW applications to test I/O performance of next-gen compute systems
• Validate customer use cases using our technology, and assist with such deployments
• Implement broad System and Solution Level testing
• Create White Papers that showcase Data Center I/O technology

Desired Knowledge and Skill Set:

• Hands on experience with ML Collective Communication and CUDA programming
• Hands on experience with ML frameworks such as PyTorch and TensorFlow
• Familiarity with standard Machine Learning workload benchmarks for Training and Inference
• Strong coding skills in multiple languages such as Python, C and C
• Background in low-level I/O performance analysis of networking and server systems 
• Good knowledge of TCP/IP and performance of other networking protocols 
• Detailed understanding of server components and applicable drivers for CPUs, memory, GPUs, networking devices and storage
• Experience validating large scale, Data Center networking and server solutions
• Working knowledge of high performance communication technologies like MPI, Infiniband, RDMA, GPU-Direct and NVLink is desirable
• Linux systems knowledge
• 5 years of software development experience working closely with hardware

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