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4 дня назад

Senior Software Engineer (HPC, AI)

219 000 - 263 000$
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

Senior Software Engineer (HPC, AI): Designing and implementing cost optimization strategies across distributed compute infrastructure for autonomous vehicle development with an accent on maximizing utilization and reducing cloud costs. Focus on modernizing the HPC platform, building cost visibility systems, and optimizing job scheduling for AI model training and simulation.

Location: Hybrid in Foster City, CA, USA

Salary: $219,000–$263,000 a year (base salary)

Company

hirify.global is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.

What you will do

  • Design and implement cost optimization strategies across distributed compute infrastructure.
  • Build cost visibility, attribution, and chargeback systems to drive accountability.
  • Optimize job scheduling algorithms and auto-scaling policies.
  • Design multi-region orchestration strategies for data locality, cost, and performance.
  • Identify and eliminate inefficient workload patterns through profiling, analysis, and developer education.
  • Develop production-grade APIs, SDKs, and tools for a cost-efficient developer experience.

Requirements

  • Experience optimizing large-scale distributed systems for cost and efficiency.
  • Experience with Ray.io (Ray Core and Ray Data) and Kubernetes (heterogeneous workloads, cost optimization).
  • Experience with cloud cost management on AWS (Cost Explorer) or similar providers.
  • Track record of achieving measurable cost reductions in production infrastructure.
  • Proficiency with Python.
  • English: B2 required.

Nice to have

  • Understanding of FinOps principles and practices.
  • Experience building cost attribution, chargeback, or showback systems.
  • Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective.
  • Experience with Kubernetes or SLURM at scale (>10k+ nodes) and advanced scheduling policies.
  • Background in algorithmic optimization or operations research.

Culture & Benefits

  • Opportunity to define hirify.global's compute economics strategy with a high degree of independence.
  • Comprehensive benefits package including paid time off, hirify.global Stock Appreciation Rights, Amazon RSUs, health insurance, and life insurance.
  • Work with a fast-moving and highly execution-oriented team passionate about robotics, machine learning, and design.
  • Commitment to building a diverse team; AI tools assist in hiring but human judgment is final.

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