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58 минут назад

Principal Engineer (AI Inference)

Формат работы
onsite
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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TL;DR
Principal Engineer (AI Inference): Building and evolving the Inference Cloud Platform for high-availability, low-latency, multi-region AI inference with an accent on distributed systems architecture, active-active failover, and high-QPS performance. Focus on designing graceful degradation, solving production bottlenecks, and driving reliability, observability, and capacity improvements across teams.

Location: On-site at the Sunnyvale office, United States

Company

hirify.global builds specialized AI hardware and cloud inference infrastructure designed to deliver high-speed AI model training and inference.

What you will do

  • Define and prioritize high-leverage technical problems for the Inference Cloud Platform.
  • Set long-term direction for multi-region topology, failure domains, service boundaries, and platform evolution.
  • Architect active-active systems with rapid failover, circuit breaking, backpressure, load shedding, and clear SLOs.
  • Improve latency, throughput, capacity efficiency, and resilience under unpredictable AI workload demand.
  • Write and review production code and designs for critical paths, including build-versus-buy decisions.
  • Lead production incidents, observability, capacity planning, post-incident improvements, cross-team technical strategy, and mentorship.

Requirements

  • 10+ years of software engineering experience, including substantial individual contributor experience with large-scale distributed systems or cloud infrastructure.
  • Deep expertise in distributed systems architecture, networking, compute orchestration, container platforms, and multi-region production services.
  • Demonstrated experience building highly available, latency-sensitive systems at scale and optimizing high-QPS performance.
  • Strong proficiency in Go, C++, or Python, with the ability to contribute production code directly.
  • Experience with metrics, logging, tracing, alerting, incident response, and SLI/SLO/SLA-driven operations.
  • Ability to influence senior engineers and cross-functional partners through technical judgment, communication, and credibility.

Nice to have

  • Experience with TTFT and tail-latency reduction.
  • Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads.

Culture & Benefits

  • Build AI platforms beyond the constraints of traditional GPUs.
  • Opportunities to publish and open-source AI research.
  • Work with a high-performance AI supercomputer platform.
  • Startup vitality combined with job stability.
  • Non-corporate culture focused on individual respect, continuous learning, and inclusion.

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