SambaNova Systems Logo

SambaNova Systems

Lead Architect, SoC

Job Posted 8 Days Ago Posted 8 Days Ago
Be an Early Applicant
Palo Alto, CA
Expert/Leader
Palo Alto, CA
Expert/Leader
The Lead Architect, SoC will develop network-on-chip architecture and memory solutions, collaborate across teams, and mentor junior engineers.
The summary above was generated by AI

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.

We’re seeking a Lead Architect, SoC to join our talented HW team—a group of engineers who have a proven track record of building software that directly powers advanced AI workloads and scientific computing. As a key technical leader, you will be responsible for designing and architecting our  end to end memory performance and solution.

Roles and Responsibilities

  • Define the network-on-chip (NoC) and memory subsystem architecture specifications.
  • Conduct value, feasibility, and cost studies to define the feature set.
  • Design a performant, reliable, and user-friendly NoC and memory microarchitecture.
  • Collaborate with silicon / system / SW teams to ensure cross-functional convergence of architecture.
  • Lead the execution of NoC and memory subsystems to achieve functional, performance, and PPA closure.
  • Work with compiler and runtime software teams to enhance cross-functional ML model performance.
  • Mentor and lead junior engineers.

Minimum Qualifications

  • Bachelor’s degree in Electrical Engineering and Computer Science (EECS) with 10+ years (or equivalent) of experience in ASIC design.
  • Deep understanding of the architecture of ML accelerators or CPUs/GPUs.
  • Extensive knowledge of NoC protocols and topologies, memory address space, QoS, and DMA.
  • Proven track record of delivering high bandwidth and low latency in multi-agent network-on-chip designs.
  • Strong hands-on experience in authoring architecture and microarchitecture specifications.
  • Technical or team leadership experience.
  • Highly motivated, independent, organized, and strong communication skills.

Preferred Qualifications

  • Master’s degree in EECS with 15+ years of experience in ASIC design.
  • Ability to extract feature requirements from workloads, such as ML models.
  • Proven silicon track record of successful full-cycle development from planning to product.
  • Experience with performance simulators.
  • Solid understanding of machine learning models.
  • Knowledge of compilers and runtime software stacks.

What We Offer:

  • Opportunity to work on cutting-edge technologies that power the next generation of AI and ML applications.
  • A collaborative, dynamic environment where your ideas and leadership will have a direct impact on the success of the company.
  • A chance to work with some of the brightest minds in the industry and contribute to groundbreaking innovations in AI, HPC, and distributed computing.

If you're passionate about designing high-performance, distributed systems and want to lead the architectural evolution of AI infrastructure, we want to hear from you.

Annual Salary Range and Level

The base salary for this position ranges from $210,000/year up to $260,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies and experience, and location.

#LI-CK1

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.

Top Skills

AI
Asic Design
Ml
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.

Similar Jobs

An Hour Ago
Hybrid
Los Angeles, CA, USA
80K-110K Annually
Mid level
80K-110K Annually
Mid level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
The Network Engineer will build and support network infrastructure for NBCUniversal's media facilities, working with firewalls and automation tools.
Top Skills: AnsibleAristaCiscoF5GitPalo Alto
2 Hours Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
As a Front-End Software Engineer, you'll ship user-focused interfaces, collaborate with various teams, and maintain technical excellence while using React and TypeScript.
Top Skills: CSSHTMLJavaScriptReactTypescript
3 Hours Ago
Hybrid
2 Locations
149K-183K Annually
Senior level
149K-183K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
The Technical Account Manager ensures seamless post-contract support for top Enterprise customers while managing technical challenges and improving customer satisfaction across departments.
Top Skills: BgpCurlDdosDigFirewallGreIpsIpsecLayer 3 And 4 NetworkingOspfTracerouteWireshark

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account