Posted:
8/26/2024, 2:07:05 PM
Location(s):
Beijing, China ⋅ Shanghai, China
Experience Level(s):
Senior
Field(s):
Software Engineering
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 GPU-powered technology such as mobile gaming, deep learning, and self-driving cars? Are you passionate about Isolating the code failures implemented by the best in the industry?
What You Will Be Doing:
As a Compiler Verification Engineer, you will play a pivotal role in ensuring the exceptional quality and performance of our compiler technology. Your responsibilities will include:
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 junior 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.
Automation and innovation: Drive innovation by designing and implementing innovative solutions to develop verification programs.
Compiler quality KPIs: Innovate, implement, and report on compiler quality Key Performance Indicators (KPIs). Provide valuable recommendations for improving the overall quality of our compiler technology.
Collaborate with the processor architecture and compiler teams in a distributed geographic environment to capture the technical requirements and deliver against them.
What We Need to See:
5+ years of relevant experience and a bachelor's degree in computer science or software engineering (or equivalent 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.
Drive for innovation: Demonstrate your ability to lead, develop, and apply advanced technologies, theories, principles, and concepts to develop techniques for resolving complex product issues.
Solid understanding of software development and programming concepts. Expertise in one of C, C++, CUDA, PTX or a GPU assembly programming language including their specifications
Excellent problem-solving skills: Demonstrate your proficiency in solving programming, integration, debug, or testing problem.
Collaborative and interpersonal skills are essential, along with experience working with geographically distributed teams.
Proficiency in scripting and automation using tools such as Python and Shell/Perl scripting.
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
Prior experience working on compiler technologies and 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.
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality