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Distinguished Engineer - AI (AI)

255 850 - 380 600$
Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Distinguished Engineer - AI (AI): Architecting and shipping next-generation AI infrastructure and inferencing platforms serving millions of requests with uncompromising latency, throughput, and reliability requirements with an accent on AI/ML inferencing at scale and distributed systems foundations. Focus on translating high-stakes business problems into elegant, defensible architectures and inventing solutions where standard approaches fail.

Location: Hybrid in San Jose, California, United States

Salary: $255,850 - $380,600 USD

Company

hirify.global is a leader in intelligent data infrastructure, delivering unified storage, integrated data services, and solutions to unlock the full potential of data for AI to multicloud.

What you will do

  • Provide the technology strategy to accelerate the pace of innovation within hirify.global and the Industry.
  • Define the roadmap and long-term vision, derived from key business priorities, technology, and competitive trends.
  • Partner with Product management and engineering to define and deliver next-generation products.
  • Influence executive management and engineering, acting as a force multiplier across engineers.
  • Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles.
  • Evangelize for hirify.global products externally, becoming an industry recognized authority on related technologies.

Requirements

  • Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton) and model optimization.
  • Proven track record building and architecting RAG pipelines and optimizing retrieval-augmented generation workflows.
  • 15+ years architecting fault-tolerant, low-latency distributed systems with expert-level understanding of consensus protocols.
  • Experience building enterprise-grade or SaaS platforms specifically designed for AI/ML workloads.
  • Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling.
  • Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service communication.
  • Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, and fine-grained RBAC/ABAC.
  • Expert in Kubernetes scheduling extensions, service mesh for AI microservices, and API gateway patterns.

Culture & Benefits

  • Hybrid working environment designed to strengthen connection, collaboration, and culture for all employees.
  • Comprehensive benefits package including Health Insurance, Life Insurance, Retirement Plans, Paid Time Off, and performance-based incentives.
  • Employee stock purchase plan and/or restricted stocks (RSU’s).
  • Flexibility to balance professional ambition with your personal life.
  • Committed to Equal Employment Opportunity (EEO) and compliance with all federal, state, and local laws.

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