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Senior/Lead AI/ML Performance Engineer

EPAMCzechia; Slovakia
Work model
Remote
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
9 tags

Technology context

9

Parsed from the vacancy text; ordered by relevance to this role.

AILLMMachine LearningPythonPyTorchTensorFlowGoPerformance OptimizationAI Solution Engineering

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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.

Responsibilities

  • 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

Requirements

  • 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

Nice to have

  • Experience with GPU/TPU performance benchmarking at scale
  • Background in ML systems or MLPerf-style benchmarking