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SambaNova

ASIC Network Architect - Austin, Texas, United States

SambaNova Remote friendly (Austin, Texas, United States; Remote - US; San Jose, California, United States) 4 months ago
AI/ML Hardware

$250,000 - $350,000 USD yearly

Originally posted 6 July 2026 by the employer.

About the role

SambaNova Systems is looking for an ASIC Network Architect to solve machine learning and artificial intelligence challenges.

What you'll do

- Define and own networking architecture specifications for communications on super-pod scale ML hardware. - Define and own the ML networking roadmap, leading a cross-functional effort across software, systems, and silicon. - Conduct research and development in networking solutions. - Work with executive leadership to align network initiatives with product competitiveness requirements. - Track and contribute to industry standards, representing SambaNova.

What you'll need

- B.S. in Computer Science, Computer Engineering, or Electrical Engineering. - 10+ years of industry experience in ML silicon development in GPU, ML accelerator, or networking ASIC environments. - Proven track record of full-cycle development and delivery from planning to product in networking for silicon solutions. - Track record of ownership and definition of networking and routing protocols, as well as networking topologies for large machine clusters. - Deep understanding of congestion management, QoS, security isolation, reliability, availability, and serviceability. - Strong coding skills with C++, Python, or Rust. - Demonstrated ability to break down networking requirements into silicon, packaging, system SW, RunTime, and Compiler SW requirements.

Nice to have

- M.S. or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering. - 15+ years of industry experience in ML, supercomputer, public cloud, or networking industries. - Understanding of ASIC development cycles and knowledge of machine learning architecture or computer architecture. - Experience building or using network simulators. - Experience conducting performance and perf/TCO trade-off analysis on interconnect choices. - Familiarity with off-the-shelf optical IP, optical switches, or end-to-end optical systems.

Skills: silicon and networking fabric, supercomputer scale AI/ML systems, ML networking roadmap, ASIC development cycles, networking architecture

Market context

This role has been open 106 days — well above the 83-day median for AI/ML Hardware Engineering roles.

AI/ML Hardware Engineering · AI ML Hardware

Open roles in category
511
Median days open
83 d
Median salary
$236k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How SambaNova compares in AI/ML Hardware Engineering hiring
Metric SambaNova All employers we track in this specialty (511 roles · 76 employers)
Open roles in this specialty 6 511
Open roles in the wider Software, Firmware & Systems family 26 6296 · 145 employers
Median days open 83 d 83 d (same as this employer)
Median salary (USD postings) — $236k

Skills observed across this category: silicon and networking fabric, supercomputer scale AI/ML systems, ML networking roadmap, ASIC development cycles, networking architecture

Who's hiring in this category

  • Qualcomm · 103 open roles · median 112 d
  • NVIDIA · 91 open roles · median 56 d
  • AMD · 40 open roles · median 85 d
  • Micron Technology · 27 open roles · median 56 d
  • Analog Devices · 18 open roles · median 39 d
  • Mobileye · 18 open roles · median 84 d

How we counted: 511 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 21 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.

Apply now
Austin, Texas, United States; Remote - US; San Jose, California, United States
Hybrid
$250,000 - $350,000 USD yearly
4 months ago

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