Note: The job is a remote job and is open to candidates in USA. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. They are looking for an AI & Deep Learning Compiler Engineer to join their Deep Learning & AI Compiler team, focusing on delivering leading inference performance and optimizing compiler techniques for AI workloads.
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
Skills
- 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
- 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 Overview
Company H1B Sponsorship