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Compiler Engineer - AI Inference

NVIDIA
August 21, 2026
Full-time
On-site
Santa Clara, California, United States
$152,000 - $241,500 USD yearly
Other Semiconductor Jobs, Level - Mid-Career

Job Title

Compiler Engineer - AI Inference

Role Summary

Join NVIDIA's compiler organization to develop high-performance compiler technology for AI inference and training on next-generation GPUs. The role focuses on kernel generation, computational-graph optimizations, and production-quality implementation that scales to datacenter deployments.

Base salary range: 152,000 USD - 241,500 USD. Eligible for equity and benefits. Applications accepted at least until 2026-08-22.

Experience Level

Mid-level β€” typically requires 3+ years of relevant industry experience in compiler optimizations or related areas.

Responsibilities

Key responsibilities include hands-on development and collaboration to advance compiler capabilities for AI workloads.

  • Develop kernel generation and computational-graph optimizations for NVIDIA GPUs.
  • Solve complex compilation problems for inference and training and transition solutions into products.
  • Collaborate with hardware, software, and research teams on hardware/software co-design and future silicon architecture.
  • Optimize and scale AI workloads for datacenter deployments.

Requirements

Must-have technical skills and experience.

  • 3+ years of industry experience specializing in compiler optimizations, synthesis, and placement.
  • Practical, hands-on experience with MLIR.
  • Strong C/C++ and Python programming skills; experience with debugging, performance analysis, and test design.
  • Effective communication and collaboration skills in fast-paced, product-oriented teams.

Nice-to-have:

  • Experience implementing complex AI workloads on CPU, GPU, or custom AI accelerators.
  • Deep understanding of LLM inference and implications for computer architecture.
  • Experience designing and architecting comprehensive compiler frameworks.

Education Requirements

BS or MS in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. PhD is strongly preferred.


About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.

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Date Posted: 2026-08-20