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Location listed: Austin, Texas, United States. Check the employer posting for worksite and eligibility requirements.
Salary
Salary not listed
Turn complex AI workload signals into faster, more efficient systems at data center scale.
As a Senior AI Performance Engineer, you will analyze and optimize AI training and inference workloads across large-scale distributed systems. Your work will connect compute, memory, communication and software behavior.
You will own complex performance investigations from problem definition through validation. You will turn profiling, benchmarking and modeling results into improvements engineers can build from.
You will design benchmarks, investigate system bottlenecks and optimize distributed communication software across technologies such as MPI, NCCL, UCX and RDMA. Your work will help the company deliver efficient, reliable AI systems for large-scale deployment.
This role gives you rare scope across hardware, software, networking and system architecture. It is based in Austin, Texas.
The team and culture</