Senior Machine Learning Applications And Compiler Engineer, Lpx

Invidia

Multiple Locations
Base: 152,000 usd - 241,500 usd for level 3; 184,0...
Hybrid
Systems level programming in c++ or rust
Compiler or runtime development experience
Experience with llvm and/or mlir
You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms

Job Summary

  • You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms.
  • Collaborate closely with hardware architects and design teams to influence future architectures and codesign features that unlock new performance and efficiency points.
  • The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4, with eligibility for equity and benefits.

Matching Summary

You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms.

Salary

Base: 152,000 USD - 241,500 USD for Level 3; 184,000 USD - 287,500 USD for Level 4; Bonus/Equity: Eligible; Benefits: Eligible

Skills & Requirements

Must-have

  • systems level programming in C++ or Rust
  • compiler or runtime development experience
  • experience with LLVM and/or MLIR
  • deep learning frameworks knowledge
  • parallel and heterogeneous compute architectures
  • profiling and benchmarking tools expertise
  • collaboration across hardware and software teams

Nice-to-have

  • experience with MLIR based compilers
  • prior work on spatial or dataflow architectures
  • contributions to open source ML frameworks
  • research publications in ML and compiler venues
  • large-scale AI distributed inference or training systems

Key Requirements

  • MS or PhD in Computer Science or related field
  • 5 years of relevant experience
  • strong software engineering background
  • experience with IR design and optimization passes
  • familiarity with TensorFlow, PyTorch, ONNX
  • excellent communication and collaboration skills

Work Rights

Not specified

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