Nvidia is hiring a
Compiler Verification Software Developer

NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. Are you excited to learn how compilers make a difference to the GPU-powered technology such as mobile gaming, deep learning, and self-driving cars? Are you passionate about breaking the code implemented by the best in the industry?

What you’ll be doing:

• Implement programs or GPU code in PTX, CUDA, C/C++, or a GPU assembly language to verify NVIDIA GPU / embedded compilers

• Design and implement tools, libraries, & automation to support NVIDIA embedded and GPU compiler development and verification process

• Review the technical work and provide technical mentorship to the members of the team

• Collaborate with the processor architecture and compiler teams in a distributed geographic environment to capture the technical requirements and deliver against them

• Recommend and drive creative techniques including reviewing of industry standard methodologies, literature, and technological advancement to architect and develop the software, scripts, and tools that would bring compiler quality to the next level

What we need to see:

• B.E. / B. Tech. in computer science or related field and 3+ years of relevant experience

• Fluency in reading, writing, and speaking in English language to understand and create Technical artifacts (Verification Plans, Requirement Documents, Design Documents etc.) and engage stakeholders in Technical brainstorming and Status meetings  

• Expertise in one of C, C++, CUDA, PTX or a GPU assembly programming language including their specifications

• A superb problem solver (solving programming, integration, debug, or testing problem)

Ways to stand out from the crowd:

• Prior experience designing and implementing low level programs

• Compiler development or verification experience with prior experience in at least one of these functional areas: compiler front-end, compiler optimizations, or LLVM framework

• Familiarity with architecture of at least one complex and the modern processor

We have some of the most talented people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and autonomous computer scientist with a real passion for crafting high quality products, we want to hear from you.