waypointjobs

SambaNova Systems

Network Architect

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

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.

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

As a ASIC Network Architect at SambaNova, you'll be responsible for defining the next generation of silicon networking solutions to enable state-of-the-art scale-up competitiveness for supercomputer scale AI/ML systems including:

Conduct research and development in state of the art networking solutions

Define and own networking architecture specifications of performant, robust and efficient communications for the next generation super-pod scale ML hardware

Define and own the ML networking roadmap, leading a cross functional effort between software, systems, and silicon

Collaborate with executive leadership to align network initiatives with product competitiveness requirements

Stay on top of and contribute to industry standards representing SambaNova

Required Qualifications

BS, MS, or PhD degree in 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

Knowledge & Skills

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

Leadership & teamwork

Highly motivated, self-driven, independent, organized and strong collaboration and communication skills

Cross-functional team leadership experience

Preferred Qualifications

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 GuidelinesPlease 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 PolicySambaNova 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.

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

Ready for your next step?Apply on the official website
Apply on Himalayas ↗

Explore related searches

Current related jobs

infisical

Jobicy

Senior Full Stack Engineer

Remote — Brazil, Canada, Europe, USA

Salary not specifiedRemote

Infisical is the open source security infrastructure platform that engineers use for secrets management, certificates, and privileged access mana…

Listing review due 2026-10-07View job

Spotify

Jobicy

Data Scientist - Music Mission

Remote — USA

Salary not specifiedRemote

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the d…

Listing review due 2026-10-07View job

Spotify

Jobicy

Data Scientist - Music Promotion

Remote — USA

Salary not specifiedRemote

The Music Mission enables Music creators to grow, engage & monetize their fan bases on Spotify. Central to the Music Mission's vision is the deve…

Listing review due 2026-10-07View job

infisical

Jobicy

Strategic Finance

Remote — Canada, USA

Salary not specifiedRemote

Infisical is the open source security infrastructure platform that engineers use for secrets management, certificates, and privileged access mana…

Listing review due 2026-10-07View job