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2 дня назад

Software Architect (AI Infrastructure)

245 000 - 325 000$
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 Architect (AI Infrastructure): Defining and evolving the end-to-end architecture of an enterprise-grade AI inference platform with an accent on distributed systems, Kubernetes, scalability, reliability, and performance. Focus on designing cloud-native infrastructure for production-scale foundation model workloads, resolving systemic scaling risks, and aligning technical direction across engineering teams.

Location: San Jose, California, United States

Salary: $245,000–$325,000 USD base salary per year

Company

hirify.global builds integrated hardware and software platforms for enterprise and government generative AI and high-performance computing.

What you will do

  • Own the end-to-end technical architecture of the SambaStack AI inference platform.
  • Define architectural strategy and technical direction across multiple engineering teams.
  • Lead design reviews and provide guidance for major platform capabilities and cross-cutting system changes.
  • Identify and resolve performance bottlenecks, reliability gaps, and scaling constraints.
  • Establish architectural standards, patterns, and engineering best practices.
  • Partner with ML Engineers, Product Managers, QA, and DevOps to design systems for production-scale AI inference workloads.

Requirements

  • 12+ years of software engineering experience, including organization-wide technical influence.
  • Experience owning large-scale distributed systems architectures from design through production.
  • Expertise building backend systems with Python, Go, or Rust.
  • Expert-level Kubernetes knowledge, including Operators, Helm Charts, and cluster-scale resource management.
  • Strong understanding of consistency, fault tolerance, observability, and performance at scale.
  • Experience setting technical direction, aligning multiple teams, communicating complex decisions, and mentoring engineers.

Nice to have

  • Experience with AI inference serving, orchestration, and production-scale LLM infrastructure.
  • Experience designing systems for GPUs, TPUs, dataflow architectures, or other hardware accelerators.
  • Background in ML application optimization and productionization.
  • Experience building cloud-native enterprise platforms with stringent SLA and compliance requirements.
  • Experience at a high-growth AI infrastructure company or familiarity with AI coding assistants and developer tooling.

Culture & Benefits

  • Work on an integrated AI hardware and software platform addressing complex computational problems.
  • US-based full-time employees receive equity and a comprehensive benefits package.
  • Medical insurance premiums are covered at 95% for employees and 77% for dependents.
  • Benefits include HSA and FSA options, dental and vision insurance, disability coverage, life insurance, and AD&D.
  • Well-being benefits include Headspace, Gympass+, One Medical, and counseling services through an Employee Assistance Program.

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