Senior Compiler Engineer, AI

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Austin, TXSanta Clara, CARedmond, WA
Salary
$184,000–$287,500 / yr
Posted
119 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $236k
$132k most similar roles pay here $304k

This role pays more than 82% of similar roles. Most pay $161,500–$233,122 — the shaded band above. At the midpoint, this role pays about $236k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Compiler Engineer, AI

The Senior Compiler Engineer - AI joins a team focused on driving innovative solutions in compilers and developer tools through applied machine learning. This role involves designing and implementing end-to-end compiler optimization workflows, including feature engineering, model development, and production rollout. The engineer will develop learning-based decision systems for compiler passes, code generation flows, and optimization pipelines while building interfaces between LLM systems and compiler infrastructure to enhance developer productivity. Key technical requirements include proficiency in Python, C/C++, and LLVM/MLIR-based compiler development. Candidates should possess expertise in reinforcement learning, genetic algorithms, predictive modeling, and high-dimensional data analysis. The work addresses the challenge of integrating AI-driven intelligence into production compiler pipelines to achieve measurable improvements in performance, efficiency, and automated decision support for complex software systems and GPU architectures.

What you'll do

  • Develop and integrate learning-based decision systems into compiler passes and code generation flows.
  • Build robust interfaces between LLM systems and compiler infrastructure for automation and decision support.
  • Design and implement end-to-end compiler optimization workflows from feature engineering to production rollout.
  • Advance LLM-enabled workflows to improve developer productivity and compiler decisioning.
  • Partner with architecture and performance teams to validate impacts on representative workloads and benchmarks.
  • Lead the experimentation, evaluation, and deployment of AI models for production compiler pipelines.
  • Deliver measurable improvements in performance, efficiency, and compile-time for high-impact products.

What we're looking for

  • BS/MS/PhD in Computer Science or a related field with a focus on machine learning and compiler tools.
  • 8+ years of software engineering and AI/ML experience, preferably in tools or systems development.
  • Strong knowledge of compilers, code generation, and GPU architecture.
  • Proficiency in Python and C/C++.
  • Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies.
  • Hands-on experience with LLVM/MLIR-based compiler development including optimization passes and code generation.
  • Experience building or integrating LLM-based systems, agents, or developer tooling in production environments.
  • Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems.

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