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3 дня назад

Unity 3D Engineer, Senior (AI)

77 600 - 176 000$
Формат работы
remote (только USA)
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
Unity 3D Engineer, Senior (AI): Building and deploying custom Unity 3D game-engine workflows and applications for government analytics with an accent on C# development, geospatial features, external service integration, and production cloud or on-premises deployment. Focus on implementing advanced mapping and location-based capabilities, connecting distributed services, and supporting machine learning and data-driven decision systems.

Location: Arlington, Virginia, USA. Remote work is available, with occasional in-person work at a Booz Allen or customer facility possible.

Salary: $77,600–$176,000 annualized USD.

Company

hirify.global provides analytics, technology, and consulting solutions for government and military clients.

What you will do

  • Develop custom game-engine logic workflows and applications in Unity 3D.
  • Write C# code and integrate external services into Unity applications.
  • Deploy Unity 3D solutions to production cloud or on-premises environments.
  • Implement geospatial libraries, advanced mapping, and location-based features.
  • Apply analytics, machine learning, and deep learning capabilities to data-rich government environments.

Requirements

  • 4+ years of professional or academic experience in Unity 3D game-engine development, software engineering, data science, or ML engineering.
  • Experience with C# and custom Unity 3D game-engine logic.
  • Experience deploying Unity 3D in production cloud or on-premises environments.
  • Experience with geospatial libraries and external service integrations.
  • Bachelor’s degree.
  • Ability to obtain a Secret clearance and meet eligibility requirements for classified information.

Nice to have

  • Experience developing supervised, unsupervised, or reinforcement learning models.
  • Experience with Docker, Kubernetes, MLOps, GitOps, Python, or Java.
  • Experience with AWS, Azure, Google Cloud, distributed computing, or data engineering tools.
  • Strong verbal and written communication skills.

Culture & Benefits

  • Health, life, disability, financial, and retirement benefits.
  • Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
  • Recognition awards for exceptional performance and demonstration of company values.
  • Virtual employees are generally expected to keep cameras on during meetings.

Hiring process

  • Security investigation and clearance eligibility review may be required.
  • Identity verification using biometrics is part of the hiring process.
  • Use of AI tools during interviews and assessments is prohibited unless explicitly permitted.

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