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2 дня назад

Member of Technical Staff (AI, Distributed Systems)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
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

Member of Technical Staff (AI, Distributed Systems): Building and optimizing real-time AI infrastructure for applications in gaming, AR/VR, and robotics with an accent on core inference engines, orchestration services, and developer APIs. Focus on rapid prototyping, hardening production systems, and optimizing GPU inference pipelines for low-latency serving.

Location: Remote

Salary: Competitive salary + Equity

Company

hirify.global is building the infra for real-time AI for applications in gaming, AR/VR, robotics, and more, led by an experienced team from MIT, Google, and Microsoft.

What you will do

  • Own end-to-end feature work from RFC and design review to infrastructure-as-code, monitoring, and post-launch iteration.
  • Optimize GPU inference pipelines, extend the TypeScript/React console, and design new audio-streaming protocols.
  • Collaborate with customers to debug latency spikes and implement fixes in the orchestration layer.
  • Influence engineering culture, institute best practices, and mentor newer hires.
  • Shape the technical roadmap alongside the founders.

Requirements

  • 2+ years of professional software engineering experience.
  • Deep proficiency in at least one systems language (Go/Rust/C++) and one high-level language (Python/TypeScript).
  • Proven track record shipping production-grade distributed systems at scale.
  • Hands-on experience with end-to-end ML workflows: data pipelines, model training/tuning, packaging, and low-latency serving (PyTorch + CUDA or similar).
  • Strong product sense and ability to translate ambiguous problems into well-scoped engineering work.
  • Excellent written & verbal communication skills.

Nice to have

  • Expertise running containerized workloads with Docker, Kubernetes, or Nomad, plus IaC with Terraform or Pulumi.
  • Knowledge of public-cloud primitives and cost optimization.
  • Familiarity with modern inference tooling (e.g., vLLM, Ray, Triton, llama.cpp) and GPU/TPU performance bottlenecks.
  • A history of thriving in early-stage startups.

Culture & Benefits

  • Competitive salary and equity package.
  • Health, dental, and vision insurance.
  • Bonuses based on performance.
  • Commitment to providing support to immigrant workers.
  • Team values empathy, deep technical knowledge, and autonomy.

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