Senior Compiler Engineer, AI

Nvidia

Confirmed live today Trusted

Remote

Quick summary

Work type: Remote
Location: Austin, TXTXCARedmond, WASanta Clara, CA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 165 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k

This role $236k

$134k $304k

below market most similar roles pay here above market

This role pays more than 90% of similar roles. Most pay $159,040–$221,250 — the blue band above. At the midpoint, this role pays about $236k versus about $190k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Compiler Engineer, AI

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The Senior Compiler Engineer - AI joins a team developing innovative solutions in compilers and developer tools through applied machine learning. The role involves designing and implementing end-to-end compiler optimization workflows, including feature engineering, model development, and production rollout. Key responsibilities include developing learning-based decision systems for compiler passes, code generation flows, and optimization pipelines, while building interfaces between LLM systems and compiler infrastructure for workflow automation. The position requires proficiency in Python, C/C++, and LLVM/MLIR-based compiler development. Candidates must possess expertise in reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and high-dimensional data analysis. This role addresses the technical challenge of building AI-driven compiler intelligence to deliver measurable improvements in performance, efficiency, and developer productivity for large-scale, high-impact products.

Skills

LLVM MLIR Python C++ Machine Learning Reinforcement Learning LLM Compiler Design Code Generation GPU Architecture Predictive Modeling Evolutionary Algorithms High-Dimensional Data Analysis Performance Engineering

What you'll do

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 code generation flows.
Build robust interfaces between LLM systems and compiler infrastructure for optimization recommendations and workflow automation.
Partner with architecture and performance teams to validate impact on representative workloads and benchmark suites.
Lead experimentation, evaluation, and deployment of AI solutions with standards for reliability and scalability.
Advance LLM-enabled workflows for compiler decisioning and developer productivity.

What we're looking for

BS/MS/PhD in Computer Science or a related field, or equivalent experience.
8+ years of software engineering and AI/ML experience, preferably in tools or systems development.
Strong knowledge of compilers, code generation, and GPU architecture.
Demonstrated proficiency in Python and C/C++.
Hands-on experience with LLVM/MLIR-based compiler development, including optimization passes, code generation, or frontend integration.
Experience building or integrating LLM-based systems, agents, or developer tooling in production environments.
Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems (preferred).
Proven track record of deploying AI/ML solutions in production and embedded environments (preferred).