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Job
Director of Engineering – ML Hardware Design & Architecture
Engineering Manager
• On-site
• Full-time
•
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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