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Director of Engineering – ML Hardware Design & Architecture

Engineering Manager • Vor Ort • Vollzeit Vereinigte Staaten San Diego, USA

The Machine Learning Hardware Accelerator team is seeking an experienced Hardware Design & Architecture leader to drive the definition and analysis of next-generation ML hardware accelerator architectures, with a special emphasis on vision applications for mobile and emerging products.

Responsibilities

  • Architect high-performance, power-efficient ML hardware accelerator designs, especially for computer vision workloads (image classification, object detection, video analytics)
  • Analyze and optimize hardware for performance, power and area (PPA) tradeoffs
  • Define hardware micro-architecture for efficient implementation of ML algorithms
  • Lead HW IP development, working closely with RTL design, verification, synthesis and physical design teams
  • Collaborate closely with global hardware, software and systems teams
  • Work with cross-functional teams (HW design, verification, SW, systems, marketing, product planning) to align architecture with product goals
  • Use models, simulators, profilers and real hardware to justify architectural decisions quantitatively
  • Apply knowledge of CPUs, GPUs, DSPs, memory and bandwidth analysis to ML hardware design
  • Communicate results and technical issues effectively with leads and peers
  • Invent and file patents for innovative hardware solutions

Requirements

  • Experience in hardware development for ML, multimedia or accelerator technologies (vision, imaging, video, display, audio)
  • Experience in system or chipset development for SoC products, preferably in the mobile market
  • Familiarity with OS principles and HW/SW interaction
  • Experience with SoC bus, interconnect and memory technologies
  • MS degree with 15+ years of industry experience: architecture/micro-architecture of ML or multimedia cores, ML frameworks (TensorFlow Lite, ONNX), VLSI design and verification (Verilog/SystemVerilog/HLS), C/C++/SystemC programming, simulators and performance/power models, scripting and automation
  • Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 8+ years of Software/Hardware/Systems Engineering experience (or Master's + 7 years, or PhD + 6 years)

Nice to have

  • Deep domain knowledge in ML for vision (image/video processing, neural network architectures for vision)
  • Experience collaborating with global teams across multiple time zones and cultures
  • Experience working with synthesis and physical design teams for HW IP development and PPA improvement
  • Excellent communication, documentation and presentation skills
  • Demonstrated technical and people leadership

Soft skills

LeadershipCommunicationCross-functional collaborationInnovative, inventive mindset

What we offer

  • Pay range: $228,400-$342,600
  • Annual discretionary bonus program
  • Opportunity for annual RSU grants
  • Competitive benefits package
Education: MS diploma 15+ év tapasztalattal preferált; minimum BSc+8 év / MS+7 év / PhD+6 év számítógép- vagy villamosmérnöki, számítástechnika vagy kapcsolódó területen.

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