Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 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.
Python @ 6
Algorithms @ 3
Machine Learning @ 4
Hiring @ 4
Experimentation @ 7
LLM @ 4
GPU @ 7
AI @ 4
Reinforcement Learning @ 3
LLVM @ 4
- 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.
Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our team. 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 compiler, architecture, and performance teams 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 robust interfaces between LLM systems and compiler infrastructure for optimization recommendations, decision support, and workflow automation.
- Partner with 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/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/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.
Ways to Stand Out From the Crowd
- Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems.
- Proven track record of deploying AI/ML solutions in production and embedded environments.
- Strong 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 & Benefits
- Base salary range: 184,000 USD - 287,500 USD (determined based on location, experience, and pay of employees in similar positions).
- Eligible for equity and benefits (link to NVIDIA benefits referenced in original posting).
Additional Information
- Applications for this job will be accepted at least until May 19, 2026. This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.
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