Network Architect at External SambaNova Systems | San Jose | Rezi

Network Architect at External SambaNova Systems

Network Architect

External SambaNova Systems · San Jose

Today

Network Architect

External SambaNova Systems · San Jose

3 hours ago
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About the Role

SambaNova Systems is seeking a talented and motivated Network Architect to address complex challenges in machine learning and artificial intelligence, defining the next generation of silicon and networking fabric solutions for supercomputer-scale AI/ML systems.

Responsibilities

  • Define the next generation of silicon and networking fabric solutions for state-of-the-art scale-up competitiveness for supercomputer scale AI/ML systems.
  • Conduct research and development in state-of-the-art networking solutions.
  • Define and own networking architecture specifications for performant, robust, and efficient communications for next-generation super-pod scale ML HW.
  • Define and own the ML networking roadmap, leading cross-functional efforts in software, systems, and silicon.
  • Collaborate with executive leadership to align network initiatives with product competitiveness requirements.
  • Stay informed about and contribute to industry standards representing SambaNova.

Requirements

  • BS, MS, or PhD degree in Computer Science, Computer Engineering, or Electrical Engineering.
  • 10+ years of industry experience in ML / supercomputer / public cloud / networking.
  • Proven track record of successful full-cycle development and delivery from planning to product in networking / ML scale-up processors and systems.
  • Track record of ownership and definition of various networking and routing protocols.
  • Deep understanding and hands-on experience defining various networking topologies for large machine clusters.
  • Deep understanding of congestion management, QoS, and security isolation.
  • Deep understanding of reliability, availability, and serviceability from a networking perspective.
  • Capable of abstracting and analyzing network performance from real-world applications.
  • Capable of breaking down networking requirements into silicon, packaging, system SW, RunTime SW, and Compiler SW requirements.
  • Strong hands-on analytical and debug skills to make progress on challenging problems in an ambiguous and highly dynamic environment.
  • Strong coding skills with C++/Python/etc.
  • Highly motivated, self-driven, independent, organized, and possessing strong collaboration and communication skills.
  • Cross-functional team leadership experience.
  • 15+ years of industry experience in ML / supercomputer / public cloud / networking industries (Preferred).
  • Good understanding of ASIC development cycles (Preferred).
  • Knowledge of machine learning architecture and/or computer architecture (Preferred).
  • Experience in building or proficiently using network simulators (Preferred).
  • Experience in leading silicon, packaging, system HW, system SW cross-functional teams (Preferred).
  • Experience in conducting perf and perf/tco trade-off analysis on different interconnect choices (Preferred).
  • Familiarity with off-the-shelf optical IP and optical switches (Preferred).
  • Understanding / hands-on experience in end-to-end optical systems (Preferred).
  • Hands-on experience in working with IP/Switch hardware vendors to enhance / customize solutions (Preferred).

Skills

  • Networking
  • Machine Learning
  • Supercomputing
  • Public Cloud
  • Silicon
  • Networking Fabric
  • AI/ML Systems
  • Networking Solutions
  • Networking Architecture
  • Communications
  • ML Networking Roadmap
  • Software
  • Systems
  • Silicon
  • Industry Standards
  • Networking and Routing Protocols
  • Networking Topologies
  • Congestion Management
  • QoS
  • Security Isolation
  • Reliability
  • Availability
  • Serviceability
  • Network Performance Analysis
  • C++
  • Python
  • Teamwork
  • Collaboration
  • Communication
  • ASIC Development
  • Machine Learning Architecture
  • Computer Architecture
  • Network Simulators
  • Performance Trade-off Analysis
  • Optical IP
  • Optical Switches
  • End-to-End Optical Systems
  • IP/Switch Hardware

Work Type

  • On-premises
  • Cloud

Experience Level

  • 10+ years of industry experience
  • 15+ years of industry experience (Preferred)

Education Level

  • BS, MS, or PhD degree in Computer Science, Computer Engineering or Electrical Engineering

Salary/Compensations

  • $250,000—$350,000 USD

Benefits

  • Equity
  • 95% premium coverage for employee medical insurance
  • 77% premium coverage for dependents
  • Health Savings Account (HSA) with employer contribution
  • Dental insurance
  • Vision insurance
  • Short/Long term Disability insurance
  • Basic Life insurance
  • Voluntary Life insurance
  • AD&D insurance
  • Flexible Spending Account (FSA) options (Health Care, Limited Purpose, Dependent Care)
  • Full subscription to Headspace
  • Gympass+ membership with access to physical gyms
  • One Medical membership
  • Counseling services with an Employee Assistance Program

About the Company

  • The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.
  • SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations.
  • Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy.
  • Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.

Equal Opportunity

  • SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.