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SambaNova Systems

ASIC Network Architect

Reposted One Month Ago
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In-Office or Remote
Hiring Remotely in San Jose, CA, USA
250K-350K Annually
Expert/Leader
In-Office or Remote
Hiring Remotely in San Jose, CA, USA
250K-350K Annually
Expert/Leader
Define and own networking architecture for next-generation super-pod ML hardware. Lead R&D, specify high-performance networking fabrics, drive ML networking roadmap, collaborate cross-functionally across silicon, systems, and software, contribute to industry standards, and deliver performant, reliable, and secure interconnect solutions at scale.
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SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.

About the role

SambaNova Systems is looking for a talented and motivated ASIC Network Architect to help us solve the most challenging and impactful problems in machine learning and artificial intelligence. 

Responsibilities
  • Conduct research and development in state of the art networking solutions
  • Define and own networking architecture specifications for performant, robust, and efficient communications on the next generation super-pod scale ML hardware
  • Define and own the ML networking roadmap, leading a cross-functional effort across software, systems, and silicon
  • Work with executive leadership to align network initiatives with product competitiveness requirements
  • Track and contribute to industry standards, representing SambaNova
Required Qualifications
  • B.S. Computer Science, Computer Engineering or Electrical Engineering
  • 10+ years of industry experience in ML silicon development in GPU, ML accelerator or networking ASIC 
  • Proven track record of successful full-cycle development and delivery from planning to product in networking for such silicon solutions 
  • 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, security isolation
  • Deep understanding of networking reliability, availability and serviceability
  • Capable of abstracting and analyzing network performance from real world application data
  • Capable of breaking down networking requirements into silicon, packaging, system SW, RunTime 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, or Rust
  • Highly motivated, self-driven, independent, organized and strong collaboration and communication skills
  • Cross-functional team leadership experience
Preferred Qualifications
  • M.S. or PHD degree in Computer Science, Computer Engineering or Electrical Engineering
  • 15+ years of industry experience in ML / supercomputer / public cloud / networking industries
  • Good understanding of ASIC development cycles
  • Knowledge of machine learning architecture and/or computer architecture
  • Experience in building or proficiently using network simulators
  • Experience in leading silicon, packaging, system HW, system SW cross-functional teams
  • Experience in conducting perf and perf/tco trade-off analysis on different interconnect choices
  • Familiarity with off the shelf optical IP and optical switches
  • Understanding / hands-on experience in end to end optical systems
  • Hands-on experience in working with IP/Switch hardware vendor to enhance / customize solutions

Base Salary Range:

Base Pay Range
$250,000—$350,000 USD

Submission Guidelines
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. 

EEO Policy
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.

Benefits Summary for US-Based, Full-Time Employment Positions
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

HQ

SambaNova Systems Palo Alto, California, USA Office

Our Palo Alto office is in a tech complex known for incubating research facilities and borders the Bay Trail along the Don Edwards Wildlife Refuge. Only a 5-minute walk, our employees often fly out of PAO for lunch with colleagues or enjoy happy hour at the nearby Palo Alto Country Club.

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