NVIDIA's groundbreaking creation of the GPU in 1999 fueled a startling surge in the PC gaming market, reshaping the landscape of modern computer graphics and fueling the power of parallel computing. In recent years, deep learning powered by GPUs has fueled the emergence of AI - the next frontier of computing. GPUs act as the powerful brains behind computers, robots, and systems that can perceive and comprehend the world. Today, we are proudly recognized as "the AI computing company."
Are you excited to learn how compilers make a difference to the GPU-powered technology such as artificial intelligence, high performance computing, mobile gaming, deep learning, and self-driving cars? Are you passionate about breaking the code implemented by the best in the industry?
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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
- Collaborate with the processor architecture and compiler teams in a distributed geographic environment to assemble the technical requirements and deliver against them
- Review the technical work and provide technical mentorship to the members of the team
- 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:
- Bachelor of Engineering / Bachelor of Technology in computer science or related field
- A superb problem solver (solving programming, integration, debug, or testing problem)
- 3+ years of confirmed experience.
- Proficiency in reading, writing, and speaking in English language to understand and build Technical artifacts (Verification Plans, Requirement Documents, Design Documents etc.) and engage collaborators in Technical brainstorming and Status meetings
- Expertise in one of C, C++, CUDA, PTX programming language including their specifications
Ways to stand out from the crowd:
- Application of machine learning to address software engineering problems
- Prior experience crafting 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 of GPU processor
We have some of the most dedicated people in the world working with us and our engineering teams are growing fast in some of the hottest innovative 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.