Senior Compiler Engineer - AI

at Nvidia

USD 184,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 7 Algorithms @ 3 Experimentation @ 7 GPU @ 7 LLM @ 4 LLVM @ 4 Machine Learning @ 4 Python @ 6 Reinforcement Learning @ 3

Details

NVIDIA is seeking an AI Compiler Engineer with deep expertise in compiler technologies. The role focuses on building AI-driven compiler intelligence for production compiler pipelines, delivering measurable improvements in performance and efficiency, and advancing LLM-enabled workflows for compiler decisioning and developer productivity.

Responsibilities

Drive innovative solutions in compilers and developer tools through applied machine learning and AI.
Collaborate with engineers to shape next-generation compiler capabilities for large-scale products.
Design and implement end-to-end compiler optimization workflows, from feature engineering and model development to compiler integration and production rollout.
Develop and integrate learning-based decision systems into compiler passes, code generation flows, and optimization pipelines.
Build interfaces between LLM systems and compiler infrastructure for optimization recommendations, decision support, and workflow automation.
Partner with compiler, architecture, and performance teams to validate impact on representative workloads and benchmark suites.
Lead experimentation, evaluation, and deployment with strong standards for reliability, scalability, and performance.

Requirements

BS, MS, or PhD in Computer Science or a related field, or equivalent experience, with a focus on machine learning and compiler or developer 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.
Demonstrated 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, code generation, or frontend integration.
Experience building or integrating LLM-based systems, agents, or developer tooling in production environments.

Preferred Qualifications

Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems.
Track record of deploying AI/ML solutions in production and embedded environments.
Experience integrating LLMs into systems workflows with attention to reliability, latency, and evaluation quality.
Demonstrated measurable outcomes such as runtime gains, compile-time improvements, or efficiency improvements on real-world workloads.
Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance engineering.

Compensation and Benefits

The base salary range is USD 184,000–287,500 per year, determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until May 19, 2026. NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.