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Applied Materials Senior Electrical Engineer - E4 
United States, California 
30007314

Yesterday

What We Offer

$147,000.00 - $202,500.00Santa Clara,CA

1. Architect the computation & network for real-time image processing. Define physical GPU/CPU & server & network and Linux configurations.

2. work on FPGA development of signal processing & communication & real-time control in next-generation semiconductor inspection tools.

Key Responsibilities

  • Architect and prototype real-time image processing pipelines leveraging both software algorithms and dedicated hardware (GPU/CPU servers, FPGA).
  • Responsible for HW & FW design related to FPGA in signal processing & interconnection & high-volume low latency data transfer and real-time control.
  • Develop and optimize hardware-based computation solutions—selecting GPU quanta, server architectures, accelerator cards—to maximize throughput and minimize cost.
  • Lead the creation of comprehensive roadmaps in partnership with software and hardware departments, forecasting technology trends, capacity planning, and budget requirements.
  • Engage directly with suppliers tospecify, test, and validate low-cost, high-efficacy computation hardware solutiontailored to our image processing workloads.
  • Establish and maintain technicalscorecardsfor hardware/software benchmarks: TFLOPS, Latency, Memory Bandwidth, Architecture efficiency, power efficiency, and total cost of ownership (TCO).
  • Producedetailed documentation capturing market trendson GPU & Server & Network & emerging compute architectures and their impact on future system designs.


Required Qualifications

  • Master or PhD in Electrical or Computer Engineering or closely related field.
  • 10+ years of industry experience in hardware-software co-design for high-performance computation application in real-time image processing.
  • Deep understanding of GPU server architectures (CUDA/ ROCm accelerators), multi-core CPU topologies, and hardware interconnects (NVLink, PCIe, InfiniBand).
  • Strong FPGA (Verilog or VHDL) and Python skills, with hands-on experience profiling code on physical hardware.
  • Deep understanding of Linux, ConnectX NICs, Network switch.
  • Proven track record working with OEMs and component suppliers to source and validate computation & network hardware at scale.
  • Demonstrated ability to craft multi-year technical roadmaps and translate market/technology research into actionable hardware/software strategies.
  • Exceptional documentation and communication skills—capable of conveying complex hardware trends and system designs to engineering and executive audiences.

Preferred Skills & Experience

  • GPU, CPU, Server, High-bandwidth Interconnection, networks.
  • Knowledge of containerization (Docker, Kubernetes) for hardware-accelerated workloads.
  • Familiarity with FPGA application in embedded system.

Functional Knowledge

  • Demonstrates depth and/or breadth of expertise in own specialized discipline or field

Business Expertise

  • Interprets internal/external business challenges and recommends best practices to improve products, processes or services

Leadership

  • May lead functional teams or projects with moderate resource requirements, risk, and/or complexity

Problem Solving

  • Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions

Impact

  • Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies

Interpersonal Skills

  • Communicates difficult concepts and negotiates with others to adopt a different point of view

Full time

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