Senior Compiler Engineer, AI Inference Platforms
NVIDIA· Engineer, Sys SW
Hybrid (Santa Clara, CA), Hybrid (Austin, TX), Remote$152k - $241.5kFull-timePosted 7mo ago
About the role
AI & Deep Learning Compiler Engineer for NVIDIA's Deep Learning & AI Compiler (DLC) team. Focuses on analyzing deep learning networks, developing compiler optimizations, and collaborating with DL framework and GPU architecture teams to accelerate AI workloads across data centers, devices, automotive, and robotics.
Responsibilities
- Analyzing deep learning networks and developing compiler optimization algorithms.
- Collaborating with members of the deep learning software framework teams and the GPU architecture teams to accelerate the next generation of deep learning software.
- Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.
Qualifications
- Bachelor’s, Master’s or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience.
- 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
- Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.).
- Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
- Ability to work independently, define project goals and scope, and lead your own development efforts.
- Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.
Skills
Required:Compiler optimizationC/C++ programmingPython programmingMLIR/LLVM/XLA/Triton
Nice to have:GPU/CPU architecture
Benefits
- equity
- benefits (see link)
Last updated Jul 3, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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