Senior Deep Learning Compiler Engineer
At a glance
Senior ML Platform & Ops role at NVIDIA. US, CA, Santa Clara · full-time · $152,000–$241,500 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Study neural networks and build compiler optimizations that improve deep learning execution
- Work with framework and hardware architecture teams to speed up upcoming deep learning software
- Define public APIs and develop compiler infrastructure for neural networks
- Analyze performance and implement software improvements across the compiler
- Help deliver inference performance, quicker builds, lower memory use, and both ahead-of-time and just-in-time compilation
What you bring
- A bachelor's, master's, doctorate, or equivalent experience in computer science, computer engineering, or a related area
- At least three years of relevant work or research in performance analysis and compiler optimization
- Strong C/C++ and Python skills, including software design, debugging, performance analysis, and test development
- You can set project goals, define scope, and drive your own development work independently
Who this fits
This suits a senior engineer who wants to own compiler development and collaborate with software framework and hardware architecture teams. The role calls for strong communication and the ability to contribute in a product-focused team.
From the employer
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 a Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Tine and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.
What you'll be doing:
Analyzing deep learning networks and developing compiler optimization algorithms.
Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.
Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work.
What we need to see:
Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience
3+ years of relevant work or research experience in performance analysis and compiler optimizations.
Ability to work independently, define project goals and scope, and lead your own development efforts.
Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.
Ways to stand out from the crowd:
Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.
Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.
Experience with the following technologies: MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.
GPU kernel generation with high performance and fast build time.
A track record of success in mentoring junior engineers and interns is a bonus.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 13, 2026.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.#deeplearning