SambaNova Systems

Enterprise AI platform with hardware stack

ASIC Network Architect

Hardware Systems IntegrationConfirmed live in the last 24 hours

Full-timeRemote

About the Job

Requirements

A B.S. in Computer Science, Computer Engineering, or Electrical Engineering.
At least 10 years of industry experience in machine-learning silicon development in GPU, ML accelerator, or networking ASIC environments.
A proven track record of successful full-cycle development and delivery from planning to product in networking for such silicon solutions.
A track record of ownership and definition of various networking and routing protocols.
Deep understanding and hands-on experience defining networking topologies for large machine clusters.
Deep understanding of congestion management, quality of service, and security isolation.
Deep understanding of networking reliability, availability, and serviceability.
Ability to abstract and analyze network performance from real-world application data.
Ability to break down networking requirements into silicon, packaging, system software, runtime and compiler software requirements.
Strong hands-on analytical and debugging skills.
Strong coding skills with C++, Python, or Rust.
Strong collaboration and communication skills.
Cross-functional team leadership experience.

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 next-generation super-pod-scale machine-learning hardware.
Define and own the machine-learning 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.

Desired Qualifications

At least 15 years of industry experience in machine-learning, supercomputer, public-cloud, or networking industries.
Good understanding of ASIC development cycles.
Knowledge of machine-learning architecture and/or computer architecture.
Experience building or proficiently using network simulators.
Experience leading silicon, packaging, system hardware, and system software cross-functional teams.
Experience conducting performance and performance/total-cost-of-ownership trade-off analysis on different interconnect choices.
Familiarity with off-the-shelf optical IP and optical switches.
Understanding of or hands-on experience in end-to-end optical systems.
Hands-on experience working with IP/switch hardware vendors to enhance or customize solutions.

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.

Base Pay Range 250000 - 350000 USD

About the Company

SambaNova Systems

Enterprise AI platform with hardware stack

Generating company summary.

Company size: 201-500
Company stage: Series F
Total funding: $2.5B
Headquarters: Palo Alto, CA
Founded: 2017

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