Senior FPGA Design Lead - AI Imaging & Medical Devices

Karl Storz Endoscopy

Goleta (CA)

Vor Ort

USD 140.000 - 190.000

Vollzeit

14 Tage+

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Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

KARL STORZ Endoscopy seeks an FPGA Design Engineer IV to design, verify, and optimize FPGA-based imaging solutions for advanced medical video camera systems. You will lead cross-functional teams across FPGA, embedded processors, GPU, and AI-enabled imaging technologies to deliver high-performance, reliable products.

The role emphasizes design, verification, and integration across hardware and software, with a focus on quality, manufacturability, and collaboration with medical device teams.

Qualifikationen

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent.
  • 8+ years FPGA design experience with Verilog/SystemVerilog.
  • Expert-level experience designing FPGA solutions using Verilog/SystemVerilog.
  • Strong knowledge of FPGA architectures, synthesis, timing analysis, and verification methodologies.
  • Experience with AI-assisted engineering tools and hardware-software integration.

Aufgaben

  • Design synthesizable Verilog/SystemVerilog HDL for FPGA implementations.
  • Create simulation and verification environments for FPGA designs.
  • Lead FPGA development efforts and guide engineering teams.
  • Contribute to system architecture including embedded processors, GPU, and AI-enabled imaging solutions.
  • Develop verification strategies and technical documentation; ensure quality and regulatory compliance.

Kenntnisse

Verilog/SystemVerilog
FPGA design
timing analysis
AI-assisted tools
documentation
hardware-software integration
team leadership

Ausbildung

Bachelor's in Electrical/Computer Engineering
Master's (preferred)

Tools

FPGA design tools
GPU/edge computing

Jobbeschreibung

KARL STORZ Endoscopy seeks an FPGA Design Engineer IV to design, verify, and optimize FPGA-based imaging solutions for advanced medical video camera systems. You will lead cross-functional teams across FPGA, embedded processors, GPU, and AI-enabled imaging technologies to deliver high-performance, reliable products.

The role emphasizes design, verification, and integration across hardware and software, with a focus on quality, manufacturability, and collaboration with medical device teams.

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