Senior Compiler Engineer - AI
NVIDIA · Texas, United States
- Hybrid
- Full-time
- $230,000 / year
- Texas, United States
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Job highlights
- Build AI-driven compiler intelligence for production pipelines.
- Shape next-generation compiler capabilities with ML and AI.
- Design end-to-end compiler optimization workflows.
- Integrate LLM systems into compiler infrastructure.
- Lead experimentation and deployment for performance.
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.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.
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.
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 committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Key skills/competency
- Senior Compiler Engineer AI
- Compiler Technologies
- Machine Learning
- Artificial Intelligence
- LLVM/MLIR
- Code Generation
- GPU Architecture
- Python
- C/C++
- Software Engineering
Skills & topics
- Senior Compiler Engineer AI
- Compiler Engineering
- AI
- Machine Learning
- LLVM
- MLIR
- Code Generation
- GPU Architecture
- Python
- C++
- Software Engineering
- NVIDIA
How to get hired
- Tailor your resume: Highlight your 8+ years of software engineering, AI/ML experience, and compiler/developer tools background, emphasizing Python, C/C++, and LLVM/MLIR expertise.
- Showcase AI/ML expertise: Detail your experience with machine learning, including reinforcement learning, and LLM-based system integration for production environments.
- Quantify achievements: Provide measurable outcomes like runtime gains, compile-time improvements, or efficiency gains from your previous roles.
- Prepare for technical interviews: Be ready to discuss compiler design, code generation, GPU architecture, and AI/ML concepts in depth.
- Research NVIDIA's culture: Understand their commitment to innovation, diversity, and the impactful work they do in AI and computing.
Technical preparation
Master LLVM/MLIR compiler development thoroughly.,Practice Python and C/C++ coding extensively.,Study GPU architecture and code generation.,Review AI/ML algorithms and LLM integration.
Behavioral questions
Describe a complex compiler challenge you solved.,How do you collaborate with diverse teams?,Explain your experience integrating new technologies.,How do you ensure reliability and scalability?
Frequently asked questions
- What specific AI or ML experience is NVIDIA looking for in a Senior Compiler Engineer?
- NVIDIA seeks a Senior Compiler Engineer with broad experience in machine learning, including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and high-dimensional data analysis. Experience building or integrating LLM-based systems, agents, or developer tooling in production environments is highly valued.
- What are the key technical skills required for the Senior Compiler Engineer AI role at NVIDIA?
- The role requires a strong knowledge of compilers, code generation, and GPU architecture. Proficiency in Python and C/C++ is essential, along with hands-on experience in LLVM/MLIR-based compiler development (optimization passes, code generation, frontend integration).
- How does NVIDIA utilize AI in its recruiting process for roles like Senior Compiler Engineer AI?
- NVIDIA explicitly states they use AI tools in their recruiting processes. This may involve analyzing resumes, screening candidates, or assisting in interview scheduling and feedback, aiming for efficiency and accuracy in identifying top talent.
- What kind of impact can a Senior Compiler Engineer AI expect to make at NVIDIA?
- As a Senior Compiler Engineer AI, you will contribute to building AI-driven compiler intelligence for production pipelines, delivering measurable improvements in performance and efficiency. You will also shape next-generation compiler capabilities and advance LLM-enabled workflows for developer productivity, impacting large-scale, high-impact products.
- What is the typical educational background for an AI Compiler Engineer at NVIDIA?
- NVIDIA typically looks for candidates with a BS/MS/PhD in Computer Science or a related field, or equivalent experience, with a specific focus on machine learning and compiler/developer tools. Significant professional experience can also be considered in lieu of formal degrees.
- How does NVIDIA determine the base salary for a Senior Compiler Engineer AI?
- The base salary for a Senior Compiler Engineer AI at NVIDIA is determined based on several factors, including your specific location, your years of experience, and the compensation of employees in similar positions within the company. The provided range is $184,000 - $287,500 USD.
- What are the benefits of working as a Senior Compiler Engineer AI at NVIDIA?