[Hiring] Senior/Lead AI/ML Performance Engineer @EPAM Systems

Role Description

We are looking for a Senior/Lead AI/ML Performance Engineer to benchmark and profile AI/ML workloads on TPU hardware to generate the empirical performance data that feeds the optimization solver's cost model.

• Conduct JAX/XLA benchmarking on physical TPU slices
• Capture and analyze TPU Profiler traces
• Build hardware coefficient matrices for use in the optimizer's cost model
• Profile LLM training/inference performance (FLOPS, memory access, token throughput)
• Collaborate with Optimization Engineers to calibrate solver inputs

Qualifications

• Strong understanding of the modern AI/ML landscape and LLM architectures
• Hands-on experience with LLM models/pipelines (training and inference)
• Proficiency in Python and/or Golang
• Familiarity with TensorFlow, PyTorch, and LangChain
• Experience with JAX/XLA and TPU-specific profiling tools

Requirements

• Experience with GPU/TPU performance benchmarking at scale (Nice to have)
• Background in ML systems or MLPerf-style benchmarking (Nice to have)