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9 дней назад

Forward Deployed Engineer (AI)

124 000 - 170 500$
Формат работы
onsite
Тип работы
fulltime
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
Forward Deployed Engineer (AI) (Manufacturing Scheduling and Optimization): Building and deploying scalable scheduling solutions, decision-support tools, and AI-enabled operational systems for semiconductor manufacturing with an accent on optimization algorithms, simulation, data analysis, and factory operations. Focus on solving complex scheduling constraints, improving throughput and resource utilization, and translating operational needs into production-ready technology.

Location: Austin, Texas, United States. Onsite role with 10% travel. Relocation is not available.

Salary: $124,000–$170,500 per year

Company

hirify.global develops materials science, engineering, and manufacturing solutions for semiconductor chips and advanced displays.

What you will do

  • Partner with scheduling, manufacturing, factory operations, and business stakeholders to translate planning challenges into scalable scheduling solutions.
  • Act as the technical liaison between scheduling teams and engineering organizations while identifying opportunities to improve cycle time, tool utilization, throughput, delivery performance, and operational efficiency.
  • Work with scheduling data, optimization engines, simulation environments, APIs, and business systems to prototype and deploy operational solutions.
  • Design decision-support tools, workflows, dashboards, and AI-driven scheduling capabilities with planners, product owners, software engineers, data scientists, and operations leaders.
  • Analyze manufacturing, supply chain, service, and operational data to identify bottlenecks, scheduling conflicts, capacity constraints, and optimization opportunities.
  • Lead proof-of-concepts, pilot deployments, production rollouts, customer workshops, requirements sessions, and continuous solution improvements.

Requirements

  • Deep expertise in manufacturing scheduling, planning processes, operations research, optimization techniques, and AI-enabled decision-support systems.
  • Strong understanding of scheduling methodologies, constraint management, capacity planning, and factory operations.
  • Experience developing analytical models, automation frameworks, and AI-enabled solutions using Python, SQL, optimization algorithms, simulation tools, and modern cloud platforms.
  • Ability to solve ambiguous operational problems through business context, technical expertise, analytical rigor, and systems thinking.
  • Ability to lead cross-functional initiatives and communicate complex technical concepts to technical and non-technical stakeholders.
  • Must work from Austin, Texas, United States; relocation is not available.

Culture & Benefits

  • Supportive environment focused on learning, professional development, and career growth.
  • Health and wellbeing programs with support for personal and professional needs.
  • Comprehensive benefits package.
  • Potential eligibility for bonus and stock award programs, where applicable.
  • Regular collaboration with manufacturing, supply chain, engineering, product, and operations stakeholders.

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