Computer Network for AI Infrastructure Researcher - Distributed Computing

Huawei

$106K — $156K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Computer Science, Machine Learning, or similar field.
  • Proficiency in C++ and Python programming languages.
  • 3+ years experience in research or engineering related to technical innovation.
  • Deep understanding of AI infrastructure and data-center networking technologies.
  • Experience in software architecture, distributed systems, and networking architectures.

Responsibilities

  • Explore and develop advanced networking technologies for AI infrastructure.
  • Identify and orchestrate solutions to business problems through cohesive technical road-mapping.
  • Engage effectively with academic and industry professionals to enhance company value.
  • Deploy innovative technologies to enhance product competitiveness.
  • Analyze industry trends and product line strategies to uncover new opportunities.

Benefits

  • Innovative work environment fostering cutting-edge technology development.
  • Collaboration with leading experts in both academia and industry.
  • Opportunities for professional growth and development in AI networking.
  • Participation in shaping the future of global networking solutions.
Full Job Description
About the job:
  • Explore, develop and deploy state-of-the-art networking technologies and protocols for Huawei's global AI infrastructure, cloud and data-center networks, delivering innovations and performance to forge product competitiveness.
  • Explore new opportunities with understanding of the company/product line strategies and industry development trends and identification of business problems and core challenges, orchestrating research and technologies across the research and business scene into a single, cohesive technical road-map.
  • Maintain effective communication with professionals in both academia and industry and ensure Huawei's value is being delivered.


The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:
  • PhD degree in Computer Science, Machine Learning, or related technical fields.
  • Proficiency in C++ and Python.
  • 3+ years of academic/professional experience in research, or engineering and technical innovation.
  • Expertise in AI infrastructure, HPC or data-center networking technologies, including but not limited to; RDMA, network protocol stack optimization, collective communication scheduling, traffic engineering/routing, congestion control, topology design and resource allocation.
  • Experience in networking, data network architectures, software architecture, and distributed systems.
  • Demonstrated influence on networking technologies, in academia or industry context.

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