Senior Deep Learning Compiler Engineer

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. 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. Defining public APIs, performing performance optimizations and analysis, and crafting and implementing compiler infrastructure techniques for neural networks, along with 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. Experience in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation. Experience with 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 leading 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 May 4, 2026. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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. #J-18808-Ljbffr NVIDIA