GPU Compiler Expert

4 days ago

bangalore, India beBeeCompiler Full time

We are seeking a seasoned expert in GPU compiler development to join our esteemed team of engineers. This is an exceptional opportunity to leverage your technical expertise and contribute to the development of cutting-edge tools that enable the creation of high-performance applications and libraries for HPC, DL, and Autonomous Driving domains.About the CompanyThe company we partner with is the undisputed leader in AI computing, renowned for inventing the GPU and revolutionizing gaming. As a pioneer in accelerated computing, they provide the infrastructure for various applications, from self-driving cars to conversational AI systems.Job SummaryWe are looking for a skilled compiler engineer to work on the GPU Assembler team, where you will be responsible for designing and developing top-notch Assembler and Disassembler tools. These tools will enable developers worldwide to analyze their binaries with advanced code analysis features and achieve optimal performance on current and next-generation GPUs.Key ResponsibilitiesLead the design and development of the company's Assembler and Disassembler for GPU compute.Work on binary analysis and instrumentation features such as call graphs generation, program register usage, and patching of GPU binaries.Collaborate closely with teams developing other related components to ensure compatibility, reliability, and high-quality code generation.Communicate effectively with customers and partners to collect feedback and drive innovative ideas into product development.Qualifications and SkillsBachelor's or Master's degree in Computer Science, Computer Engineering, or a related field with at least 5 years of experience in low-level system software development.Proven expertise in one or more areas of compiler development, including feature support, code generation, and compiler infrastructure.Strong analytical and C/C++ programming skills.Familiarity with Assembly Language and Processor ISA (GPU ISA not required but beneficial).Knowledge of object file formats such as ELF and debugging formats like DWARF.Preferred QualificationsExperience in binary analysis and instrumentation tools, debugger/profiler development, or linker internals.Understanding of AI tools and their application in everyday work.Knowledge of GPU development and compute APIs such as CUDA and OpenCL.How to ApplyApply now for this exciting opportunity to join our team and contribute to the development of innovative tools that shape the future of computing.

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