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6 дней назад

Member Of Technical Staff High Performance Computing Engineer (AI)

188 000 - 304 200$
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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Описание вакансии

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TL;DR

Member Of Technical Staff High Performance Computing Engineer (AI): Developing and optimizing high-scale AI platform services powering Copilot with an accent on high performance computing, scalable cloud infrastructure, and AI product integration. Focus on building secure, performant APIs and collaborating with AI researchers and product teams to deliver cutting-edge consumer AI experiences.

Location: Must be local to Mountain View, CA, and work onsite at least 3 days a week

Salary: $188,000–$304,200 per year (San Francisco Bay area range)

Company

hirify.global is a fast-moving team dedicated to advancing AI products like Copilot, Bing, and Edge, pushing the boundaries of technology to define the AI era.

What you will do

  • Build secure and performant AI platform services powering Copilot.
  • Collaborate with platform, infrastructure, application engineers, and AI researchers to develop next-generation AI products.
  • Ship high-quality, well-tested, secure, and maintainable code.
  • Overcome roadblocks to deliver work quickly and iteratively to users.
  • Work in a fast-paced, design-driven product development cycle.
  • Embody Microsoft’s culture and values of respect, integrity, and accountability.

Requirements

  • Must be local to the San Francisco Bay area and work onsite at least 3 days a week.
  • Bachelor’s degree in computer science or related field with 6+ years engineering experience or equivalent.
  • 6+ years experience with high-scale training clusters and frameworks like Nvidia InfiniBand, SLURM, Kubernetes, Ray.
  • 6+ years building scalable services on public cloud infrastructure such as Azure, AWS, or GCP.
  • Proficiency in languages including Python, C#, C++, Rust, or Java.
  • Strong communication skills and ability to work cross-functionally.

Nice to have

  • Experience with LLM training clusters and AI platforms/frameworks.
  • Experience deploying and scaling machine learning models.
  • Passion for learning new technologies and staying current with AI and web development trends.

Culture & Benefits

  • Growth mindset and collaborative environment.
  • Focus on inclusion, respect, integrity, and accountability.
  • Opportunity to work on cutting-edge AI products impacting millions.
  • Regular shipping and immediate impact of work.

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