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4 часа назад

Software Engineer - Hosted Model Infrastructure (AI)

145 000 - 200 000$
Формат работы
hybrid
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

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TL;DR
Software Engineer - Hosted Model Infrastructure (AI): Building and operating high-performance model-serving infrastructure for AI systems deployed across air-gapped government networks, defense environments, edge nodes, and data-sovereign enterprises with an accent on GPU scheduling, secure deployment, and multi-tenant request handling. Focus on designing deployment pipelines, observability, benchmarking, and debugging complex issues across backend services, containers, orchestration, inference engines, and GPU hardware.

Location: Palo Alto, California, United States; hybrid workplace

Salary: $145,000–$200,000 per year

Company

hirify.global develops software platforms for data-driven decisions and operations used by government and enterprise organizations.

What you will do

  • Build high-performance model-serving infrastructure integrating security models, hardware constraints, and multiple inference engines.
  • Design authentication, rate limiting, concurrency control, audit logging, and other request-handling capabilities for multi-tenant model access.
  • Build packaging and deployment pipelines for secure, reliable model rollouts across on-premises and air-gapped environments.
  • Develop observability, testing, and benchmarking infrastructure for production AI systems across different GPU hardware.
  • Debug performance and reliability issues across application code, inference engines, container runtimes, Kubernetes, and GPU drivers.
  • Work with product teams and customers to understand requirements, resolve production issues, and integrate hosted model infrastructure with deployment, configuration, and identity systems.

Requirements

  • 4+ years of professional software engineering experience building and operating production systems.
  • Degree or equivalent engineering background in Computer Science, Mathematics, Software Engineering, Physics, or a related field.
  • Strong coding skills in languages such as Java, C++, Python, Rust, or similar; familiarity with the Python ML ecosystem is valuable.
  • Experience with containers, Kubernetes, and deploying backend services in production.
  • Strong written and verbal communication skills, with the ability to iterate quickly and incorporate feedback.
  • Hybrid work in Palo Alto, California, United States.

Nice to have

  • Active US Security clearance or eligibility and willingness to obtain one.

Culture & Benefits

  • Medical, dental, vision, life, AD&D, and disability insurance options.
  • Commuter benefits and a 401(k) plan.
  • Flexible paid time off, paid holidays, and supportive leave programs.
  • Paid parental leave, backup care, and fertility and family-building benefits.
  • Relocation assistance and support for employee health and long-term growth.

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