Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for over 25 years, and they are seeking a Senior AI Compiler Engineer to join their Deep Learning & AI Compiler team. The role involves analyzing deep learning networks and developing compiler optimization algorithms to enhance performance on NVIDIA GPUs.
Responsibilities:
• Analyzing deep learning networks and developing compiler optimization algorithms.
• Strong programming skills in CUDA including analyzing and debugging performance bottlenecks on GPUs.
• Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.
Qualifications:
Required:
• Bachelor’s, master’s 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.
• Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.).
• Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
• Ability to work independently, define project goals and scope, and lead your own development efforts.
• Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.
Preferred:
• Proficient in CPU and/or GPU architecture especially modern Nvidia GPUs like Hopper and Blackwell.
• Understanding of deep learning models, algorithms, and frameworks, such as PyTorch, JAX.
• GPU kernel authoring and performance analysis using tools such as Nsight Compute.
• A track record of success in mentoring early-career engineers and interns is a bonus.
• Track record on new hardware bring-up is a plus.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.