Senior Compiler Engineer - AI
NVIDIA · Texas, United States
- Hybrid
- Full-time
- $235,750 / year
- Texas, United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Develop AI-driven compiler intelligence.
- Integrate LLMs into compiler workflows.
- Optimize compiler performance and efficiency.
- Collaborate on next-gen compiler capabilities.
- Requires strong C++, Python, and compiler background.
About the role
About NVIDIA
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.Job Overview
We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate brings broad experience across machine learning, including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and high-dimensional data analysis, along with strong foundations in compiler design and domain-specific languages. This role is focused 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.What You'll Be Doing
- Join a team driving innovative solutions in compilers and developer tools through applied machine learning and AI.
- Collaborate with world-class engineers to shape next-generation compiler capabilities that power large-scale, high-impact 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 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.
What We Need To See
- 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 and Benefits
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous program manager with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits.Key skills/competency
- AI Compiler Engineering
- Machine Learning
- Compiler Technologies
- LLVM/MLIR
- GPU Architecture
- Software Engineering
- Python
- C/C++
- Large Language Models (LLMs)
- Performance Optimization
Skills & topics
- AI Compiler Engineer
- NVIDIA
- Compiler Engineering
- Machine Learning
- LLVM
- MLIR
- GPU Architecture
- Software Engineering
- Python
- C++
- LLM
- Performance Optimization
- Developer Tools
- Computer Science
- High-Performance Computing
How to get hired
- Tailor your resume: Highlight your experience with AI/ML, compilers, LLVM/MLIR, Python, and C/C++.
- Showcase impact: Quantify achievements in performance gains or efficiency improvements.
- Demonstrate expertise: Detail any publications, open-source contributions, or patents.
- Prepare for technical interviews: Be ready to discuss compiler design, code generation, and AI/ML concepts.
- Emphasize collaboration: Highlight experience working with diverse engineering teams.
Technical preparation
Study LLVM/MLIR internals and optimization passes.,Practice complex algorithm and data structure problems.,Review GPU architecture and parallel computing concepts.,Build small projects using Python and C++ for AI.
Behavioral questions
Describe a challenging compiler optimization problem.,How have you integrated AI into a complex system?,Discuss a time you collaborated with diverse teams.,How do you ensure reliability in production systems?
Frequently asked questions
- What are the key technical skills required for the Senior AI Compiler Engineer role at NVIDIA?
- For the Senior AI Compiler Engineer position at NVIDIA, essential technical skills include deep expertise in compiler technologies, proficiency in Python and C/C++, strong knowledge of compilers, code generation, and GPU architecture. Hands-on experience with LLVM/MLIR-based compiler development and integrating LLM-based systems is also critical. A solid mathematical and scientific foundation relevant to AI/ML is also a must.
- What kind of machine learning experience is valued for this NVIDIA AI Compiler Engineer job?
- NVIDIA values broad experience across machine learning for this role, specifically mentioning reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and high-dimensional data analysis. Experience in applying these ML techniques to compiler optimization and developer productivity is highly desired.
- Can a candidate with equivalent experience apply for the Senior AI Compiler Engineer role at NVIDIA?
- Yes, NVIDIA considers equivalent experience. While a BS/MS/PhD in Computer Science or a related field with a focus on machine learning and compiler/developer tools is preferred, candidates with substantial professional experience in the field can also be considered.
- What is the salary range for the Senior AI Compiler Engineer position at NVIDIA?
- The base salary range for the Senior AI Compiler Engineer position at NVIDIA is 184,000 USD to 287,500 USD annually. This range is determined by factors such as location, experience, and internal pay equity.
- Does NVIDIA hire internationally for the Senior AI Compiler Engineer role?
- The job description does not explicitly state international hiring capabilities for this role. However, base salary is determined by location, suggesting that opportunities may exist in various regions where NVIDIA operates. Interested candidates should confirm location specifics during the application process.
- How does NVIDIA use AI in its recruiting process for roles like Senior AI Compiler Engineer?
- NVIDIA utilizes AI tools in its recruiting processes. This may involve AI-assisted resume screening, candidate matching, or interview scheduling to streamline the hiring process for roles such as the Senior AI Compiler Engineer.
- What differentiates a candidate for the Senior AI Compiler Engineer role at NVIDIA?