Job description

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.

Requirements

Must-haves

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.
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
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

Nice-to-haves

M.S. or PHD degree in Computer Science, Computer Engineering or Electrical Engineering
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

Application prep

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Keywords to mirror

aimachine learningmlpythonrust

Platform: greenhouse
Effort: quick

Benefits

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Dental

Vision