Machine Learning Architect

Company: AMD
Location: San Jose
Posted on: August 5, 2022

Job Description:

What You Do At AMD Changes EverythingAt AMD, we push the boundaries of what is possible. We believe in changing the world for the better by driving innovation in high-performance computing, graphics, and visualization technologies - building blocks for gaming, immersive platforms, and the data center.Developing great technology takes more than talent: it takes amazing people who understand collaboration, respect, and who will go the "extra mile" to achieve unthinkable results. It takes people who have the passion and desire to disrupt the status quo, push boundaries, deliver innovation, and change the world. If you have this type of passion, we invite you to take a look at the opportunities available to come join our team.We are looking for a talented, self-driven, and motivated AI Engine Solutions Architect to be part of the Xilinx AI Engine Solutions team. The team develops neural network inference engines, builds kernel libraries for specific signal processing algorithms, builds system level design and infrastructure to validate VLIW processors (AI Engine) with high-speed network on chip, coherent interconnect on emulated and silicon platforms. The team also delivers solutions and collaterals to our end customers showcasing capabilities of AI Engine based systems designs.In this team, members are routinely involved in all aspects of product development: design, system architecture, implementation, testing, and product demonstration. You will be involved in state of the art machine learning, 5G technologies, acceleration of compute, storage, and networking. You will collaborate with other groups and lead in the solutions of the different generations of AI Engines covering the various use case applications. This team is dynamic and fast paced offering each of its members tremendous personal opportunity to grow their knowledge and skills.Responsibilities Include

• Map emerging neural network architectures in the current and next generation AI Engine blocks
• Build performance models to estimate neural network throughput and latency
• Work with network compiler team to define network instructions, quantization and pruning schemes that can be mapped to AI Engine processors
• Map emerging signal processing algorithms into AI Engine processor and define dataflow architecture
• Define system level dataflow for network on chip, high bandwidth memory and on-chip cache
• Work with the implementation teams to drive kernel implementation, simulation and hardware debug
• Provide suggestions/feedback to the AI Engine architecture teams based on system level performance analysis
• Solve challenging technical problems with complex SoC based systems that integrate robust algorithms and features
• Lead technical discussions in the AI Engines Technical Solutions Team forum
• Be involved in all aspects of integrated product development, including design, prototyping, implementation, testing, and product demonstration
• Work in a team environment on product development and system engineeringJob Requirements
  • Strong understanding of network architecture such as CNNs, RNNs, LSTMs and as
  • Strong experience with network modeling using Python/Python libraries
  • Strong concepts C/C++, functions and pointers
  • Strong understanding of VLIW SIMD vector processor, dataflow and compute mapping experience
  • Experience with FPGA based accelerator design will be a plus
  • Fluency in data structures, algorithms, and graph theory
  • Experience with Linux based system development and familiarity with kernel framework is preferred
  • Familiarity with neural network frameworks (Keras, PyTorch, TensorFlow, Caffe) preferred
  • Experience in understanding system use cases, determining requirements, and writing test specification
  • Strong knowledge of computer architecture
  • Good understanding of bus communication protocol such as AXI
  • Hands-on experience with debugging systems on boards and using lab equipment is a plus
  • Strong written and verbal skills
  • Strong communication, teamwork and problem solving skills
  • Strong debugging skillsEducation RequirementsThis position requires a BS (MS preferred) in Computer/Electrical Engineering with senior years of industry experience or a PhD degree in Computer/Electrical Engineering with senior years of experience. Requisition Numbe r: 153611Country: United States State: California City: San JoseJob Function: Design Benefits offered are described here .AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers. We consider candidates regardless of age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status. Please click here for more information.

Keywords: AMD, San Jose , Machine Learning Architect, Professions , San Jose, California