Senior AI-Driven Compiler Engineer: ML & LLM Optimizations

NVIDIA Gruppe

Austin (TX)

On-site

USD 184,000 - 288,000

Full time

14 days+

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Job summary

NVIDIA Gruppe in Austin, TX, is seeking a senior software engineer to lead ML-driven compiler and developer-tools initiatives. You will collaborate with world-class engineers to push next-generation compiler capabilities for large-scale products and performance-critical workloads.

You will design end-to-end optimization workflows, integrate learning-based decision systems into passes and code generation, and build robust interfaces between LLMs and compiler infrastructure for recommendations and

Qualifications

  • BS/MS/PhD in Computer Science or related field with ML and compiler focus.
  • 8+ years software engineering and AI/ML experience.
  • Hands-on LLVM/MLIR compiler development and GPU know-how.

Responsibilities

  • Join a team driving innovative solutions in compilers and developer tools through applied machine learning and AI.
  • Collaborate with world-class engineers to shape next-generation compiler capabilities.
  • Design and implement end-to-end compiler optimization workflows from feature engineering to production rollout.
  • Develop and integrate learning-based decision systems into compiler passes and optimization pipelines.
  • Build interfaces between LLM systems and compiler infrastructure for optimization recommendations.
  • Partner with compiler, architecture, and performance teams to validate impact on workloads.
  • Lead experimentation, evaluation, and deployment with reliability, scalability, and performance.

Skills

Python
C/C++
LLVM/MLIR
Code generation
GPU architecture
Compiler optimization

Education

BS/MS/PhD in Computer Science or related field

Tools

MLIR
LLM integration
Benchmarking

Job description

NVIDIA Gruppe in Austin, TX, is seeking a senior software engineer to lead ML-driven compiler and developer-tools initiatives. You will collaborate with world-class engineers to push next-generation compiler capabilities for large-scale products and performance-critical workloads.

You will design end-to-end optimization workflows, integrate learning-based decision systems into passes and code generation, and build robust interfaces between LLMs and compiler infrastructure for recommendations and

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