Senior FPGA Engineer — Hybrid/Remote Embedded Systems

Lam Research

Fremont (CA)

Hybrid

USD 141,000 - 307,000

Full time

2 days ago
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Job summary

Lam Research in the San Francisco Bay Area seeks a senior software/embedded engineer to design and implement FPGA-based embedded solutions for semiconductor equipment. You’ll collaborate with cross-functional teams including process, hardware, firmware, and software engineers to deliver high-performance embedded control systems.

The role emphasizes HDL design, RTL porting, DSP concepts, and verification using UVM within a hybrid on-site/work-from-home environment.

Qualifications

  • Degree in Electrical Engineering or Computer Science or closely related field.
  • Strong experience with FPGA design and HDL-based development.
  • Proven ability to document FPGA design and development.

Responsibilities

  • Implement FPGA-based designs for embedded controllers in semiconductor equipment.
  • Collaborate with process, systems, software, electrical, firmware, and mechanical engineers.
  • Own requirements, design, and implementation including hardware, FPGA, firmware and algorithms.
  • Influence HW/SW/FPGA partitioning decisions.
  • Design and develop interfaces to peripheral devices (RTDs, sensors, actuators, motors).
  • Model signal paths in Matlab and port to RTL for FPGA execution.

Skills

FPGA design
VHDL / SystemVerilog
Matlab
Python scripting
Xilinx Vivado
AXI buses
RTOS interfacing
DSP concepts
Git
Communication protocols

Education

BS or MS in Electrical Engineering or Computer Science

Tools

Xilinx Vivado
Git
Atlassian tools
MATLAB/Simulink

Job description

Lam Research in the San Francisco Bay Area seeks a senior software/embedded engineer to design and implement FPGA-based embedded solutions for semiconductor equipment. You’ll collaborate with cross-functional teams including process, hardware, firmware, and software engineers to deliver high-performance embedded control systems.

The role emphasizes HDL design, RTL porting, DSP concepts, and verification using UVM within a hybrid on-site/work-from-home environment.

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