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2 часа назад

EDA Software Engineer (FPGA)

149 100 - 215 900$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
EDA Software Engineer (FPGA): Building scalable data models and high-performance APIs for Quartus Prime FPGA design software with an accent on C++, Python, and FPGA device representation. Focus on developing algorithms and data structures for synthesis, placement, routing, timing analysis, and power analysis while supporting next-generation FPGA device bring-up.

Location: San Jose, California, United States

Salary: $149.1K–$215.9K USD per year for the Bay Area

Company

hirify.global develops programmable solutions and FPGA technologies for cloud, network, and edge applications.

What you will do

  • Specify, implement, and maintain software data models representing increasingly sophisticated FPGA devices.
  • Develop high-performance APIs for accessing FPGA device databases.
  • Support algorithms for synthesis, placement, routing, timing analysis, and power analysis.
  • Collaborate with hardware and software teams to bring next-generation FPGA devices to Quartus Prime.
  • Develop tools that support and improve the FPGA device bring-up process.

Requirements

  • 6+ years of experience with a bachelor’s degree, 4+ years with a master’s degree, or 8+ years with a Ph.D. in computer science, computer engineering, or a related field.
  • Excellent programming skills in C/C++ and Python.
  • Strong written and verbal communication skills.
  • Advanced knowledge of algorithms and data structures.
  • Applicants must be eligible for any required U.S. export authorizations.

Nice to have

  • Experience developing EDA tools, internal applications, or APIs.
  • Knowledge of graph-based algorithms.
  • Experience with Verilog, SystemVerilog, or VHDL.
  • Background in FPGA architecture and FPGA tools.

Culture & Benefits

  • Regular full-time employment.
  • Incentive opportunities based on individual and company performance.
  • Use of artificial intelligence in applicant screening, assessment, or selection.

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