Graph Compiler Deep Learning Engineer
Description For Graph Compiler Deep Learning Engineer
Intel is seeking an experienced Software Engineer to join their Deep Learning Graph Compiler team within the Data Center & Artificial Intelligence Group (DCAI). This role focuses on developing and optimizing graph compilers for accelerating deep learning workloads on heterogeneous hardware architectures, including accelerators and GPUs.
The position offers an opportunity to work at the intersection of compiler technology and machine learning, developing cutting-edge solutions that enhance the performance of AI models. You'll be part of Intel's transformation from a PC-centric company to a leader in cloud computing and AI technologies.
As a Graph Compiler Deep Learning Engineer, you'll collaborate with cross-functional teams of engineers, researchers, and product specialists to create innovative solutions for complex computational challenges. The role requires strong expertise in C++ programming, with additional value placed on experience in compiler development, hardware acceleration, and machine learning frameworks.
The position is based in Intel's Petah-Tikva, Israel location, requiring on-site presence. You'll be part of the DCAI group, which is central to Intel's strategic focus on data-driven services, from artificial intelligence to 5G and high-performance computing. The team develops products and technologies spanning software, processors, storage, I/O, and networking solutions that power data centers worldwide.
This is an excellent opportunity for a skilled software engineer with a passion for deep learning and compiler optimization to make a significant impact on the future of AI acceleration and hardware performance.
Responsibilities For Graph Compiler Deep Learning Engineer
- Design, development, and optimization of graph compilers
- Support acceleration of deep learning workloads on heterogeneous hardware architectures
- Collaborate with engineers, researchers, and product teams
- Deliver cutting-edge solutions to improve performance and scalability in AI and machine learning models
Requirements For Graph Compiler Deep Learning Engineer
- BSc/Msc in Computer Science/Computer Engineering
- 5-8 years of experience with C++
- Proficiency in C++ programming language
- Proficiency in Python language
- Deep understanding of deep learning models, graph structures, and computational graph (advantage)
- Familiarity with hardware architectures (advantage)
- Experience with code generation or hardware acceleration (advantage)
- Experience with developing compilers or working on machine learning frameworks (advantage)
Jobs Related To Intel Graph Compiler Deep Learning Engineer
