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7 дней назад

Engineer II - CAD (Grid Engineer)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Engineer II - CAD (Grid Engineer) (EDA and high-performance computing): Designing, developing, and supporting compute grid infrastructure and workflows for critical Electronic Design Automation workloads with an accent on reliability, performance, and scalability. Focus on optimizing clustered compute systems, developing software for EDA workloads, and solving complex grid infrastructure issues.

Location: Chandler, Arizona, United States; onsite role. Travel: 0%–25%.

Company

hirify.global develops semiconductor technology and products used in a broad range of applications.

What you will do

  • Evaluate clustered compute systems and improve performance, scalability, and utilization.
  • Support end users running simulations and promote best practices across the user community.
  • Design, develop, maintain, tune, and monitor software for EDA workloads running on the compute grid.
  • Create and maintain documentation for compute grid infrastructure and EDA workflows.
  • Research software and systems technologies to support technical recommendations and purchasing decisions.
  • Collaborate with engineering teams to maintain secure, stable, and optimized grid operations.

Requirements

  • At least 2.5 years of experience in Electrical Engineering, Computer Science, or High-Performance Computing.
  • Hands-on experience with job schedulers such as LSF, SGE, RTDA, SLURM, or similar systems.
  • Strong proficiency with Unix/Linux operating systems and file systems.
  • Programming or scripting experience with csh, Bash, Perl, Python, Tcl, and/or C/C++.
  • Experience with EDA tools and suites from Cadence, Synopsys, and Siemens.
  • Strong problem-solving, communication, collaboration, organizational, and documentation skills.

Nice to have

  • DevOps or Git/Jenkins workflow experience.
  • Familiarity with machine learning and artificial intelligence frameworks such as LLMs or TensorFlow.

Culture & Benefits

  • Full-time employment within a large semiconductor technology organization.
  • Employee development and career growth programs.
  • Values-based decision-making and a collaborative workplace culture.
  • Physical work profile includes approximately 80% sitting, 10% walking, and 10% standing.

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