Vision AI/ML Performance Architect - Lead
Applied Materials
Bangalore, INDIA
3d ago

Job Role : Vision AI / ML Performance Architect - Lead

About Applied

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world.

Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality.

At Applied Materials, our innovations make possible the technology shaping the future. Your Opportunity :

  • Interested in accelerating the AI and Big Data inflection across industries Are you customer-obsessed, experienced, entrepreneurial, and looking for your next challenge
  • The Applied Materials' AI team is actively recruiting for a highly motivated and energetic AI / ML performance architect to lead and drive modeling framework development and performance analysis effort for innovative platform architectures and roadmaps.
  • The ideal candidate will analyze key architectural and implementation trade-offs such as power, performance, area, cost while considering technological innovations.

    This role requires strong communication, in addition to being comfortable with working through ambiguities.

    Roles and Responsibility :

  • Build simulation framework and performance models for highly innovative platform architectures, including AI accelerator, and computer vision blocks;
  • Prior experience with simulator design / development and performance modeling and analysis for CPU / GPU / SoC / ML accelerators;
  • C / C++ / SystemC / Python; Understanding of architecture / micro-architecture trade-offs for performance and power analysis;
  • Understanding of computer vision AI workloads a plus.

    Our Ideal Candidate :

    oShould have extensive experience in performance simulation model development and performance analysis

    oShould have very good development experience in C++ / SystemC / Python

    oFamiliarity with AI accelerators and GPUs is a plus

    oPreferably, good exposure to computer vision related AI models (e.g. ResNet, Yolo) and AI frameworks (e.g. TensorFlow, Pytorch)

    Qualifications :

  • Must to have Bachelor degree in Computer Engineering / Computer Science, Minimum relevant work experience 10+ years
  • Preferable to have Masters or PhD in Computer Engineering / Computer Science
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