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 other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.#deeplearningSkills Required
- 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
- Proficiency in Python and C/C++
- Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies
- Hands-on LLVM/MLIR-based compiler development experience, including optimization passes, code generation, or frontend integration
- Experience building or integrating LLM-based systems, agents, or developer tooling in production environments
- Familiarity with reinforcement learning, genetic or 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 runtime, compile-time, or efficiency improvements on real-world workloads
- Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance engineering
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
