About the job
We are looking to hire a Compiler Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realize the potential of NVIDIA's DPUs designed for the world's largest Generative AI Data Centers: https://nvidia.com/en-us/networking/products/data-processing-unit/ .We need you to design, develop and tune optimizing compilers based on Clang/LLVM for our latest Data Processing Unit (DPU) accelerators. These compilers are key for the performance of Generative AI, HPC and other performance critical software deployed on NVIDIA Data Centres, on the cloud and at super computing centres around the world.
In this role you will solve critical problems working alongside an outstanding engineering team with vision in Compiler technology and systems software, doing what you enjoy! Our compiler organisation makes its mark on every CPU, GPU, DPU and SoC product that NVIDIA builds. Would you like to be part of this outstanding organisation?
What You Will Be Doing
- Partner with a geographically distributed organization spanning Networking SW, HW, Customers to define, design and optimize DPU Compiler SW at NVIDIA.
- Invent and improve middle-end and back-end compiler optimizations in Clang/LLVM targeting NVIDIA DPU
- Drive new compiler features that improve programmability of NVIDIA DPUs and contribute to definition of DPU programming model.
- Participate in complete HW / SW co-design cycle from pre-silicon to launch to customer support.
- Be part of a team that is at the centre of AI, HPC and data centre technologies.
- BS or MS degree in Computer Science, Computer Engineering, or related field with 8+ years of experience.
- Experience in compiler development with focus on middle-end or back-end optimizations for LLVM
- Knowledge of embedded toolchains.
- Strong hands-on C++ programming skills.
- Excellent verbal and written communications skills.
- Familiarity with CPU architectures such as Arm Architecture (AArch32, AArch64), RISC-V, x86_64, PowerPC or DSPs and engaging with pre-silicon compiler and toolchain contributions.
- A track record of working with industry standard compiler infrastructure such as Clang, LLVM or MLIR.
- Experience with Domain Specific Languages (DSL) compilers.
