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 looking for outstanding AI compiler engineers to join the team and develop groundbreaking technologies in machine learning compilers and AI systems. We build innovative AI compiler solutions that work together with NVIDIA's software stack to provide comprehensive acceleration for modern machine learning models. As a member of the team, you will develop innovative AI compiler technologies for NVIDIA's hardware architecture. You will develop new AI compiler abstractions, developing agentic solutions to accelerate machine learning system engineering, and optimize high-impact machine learning workloads. As part of this role, you will be building a close technical relationship with internal NVIDIA software and hardware teams to push the latest developments to NVIDIA's product.
What you'll be doing:
Innovate and develop new machine learning compiler and systems technologies
Design, implement, and optimize compilers for high impact AI workloads
Build agent driven solutions to automate the overall development flow
Co-design agent system solutions with current and future AI compiler technologies
Collaborate closely with other engineering teams at NVIDIA to build high impact solutions for machine learning acceleration
What we need to see:
Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD are preferred
Experience in machine learning systems development – including ML compilers, LLM inference kernels, kernel generations.
Strong python, C/C++, GPU programming skills
Ways To Stand Out From The Crowd:
Expertise in machine learning compilers (e.g. Apache TVM, MLIR)
Background in developing AI agent driven solutions and automation
Expertise in domain specific compiler and library solutions for LLM inference and training (e.g. FlashInfer, Flash Attention)
Strong experience machine learning systems research and productization
Open source project ownership or contributions
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.Skills Required
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience
- Experience in machine learning systems development, including ML compilers, LLM inference kernels, or kernel generation
- Strong Python skills
- Strong C and C++ skills
- Strong GPU programming skills
- Master's or PhD degree
- Expertise in machine learning compilers such as Apache TVM or MLIR
- Experience developing AI agent-driven solutions and automation
- Expertise in domain-specific compiler and library solutions for LLM inference and training, such as FlashInfer or FlashAttention
- Strong machine learning systems research and productization experience
- Open-source project ownership or contributions
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.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
Similar Jobs
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.”
