$210,000 - $280,000 USD yearly
Originally posted 18 August 2026 by the employer.
This role focuses on integrating SambaNova's RDU AI accelerators into rack-scale systems.
About the role
You will integrate SambaNova's RDU AI accelerators into rack-scale systems.
What you'll do
- Rack and stack tightly integrated network, power, and compute devices in prototype and production environments
- Select, configure, and customize high-performance rack equipment for deployment at scale
- Align rack designs with product needs by working with architects, engineering teams, and customer datacenter teams
- Engage with multiple vendors to build partnerships supporting current and future roadmaps
What you'll need
- B.S. in Electrical Engineering, Mechanical Engineering, Computer Engineering, or related field
- 10+ years of hands-on experience deploying advanced compute and networking equipment in datacenter clustered environments
- Working knowledge of specification, configuration, and use of datacenter support equipment such as network switches, power systems, and fiber and copper networking technologies
- Recent experience with datacenter working practices and standards, including rack design, wiring practices, rack power options, and cooling technologies
- Recent experience in prototyping and converting high-performance integrated rack solutions to mass production
- Experience partnering with cross-disciplinary teams
Nice to have
- Recent AI platform integration experience
- High-performance switch and networking experience, including switch configuration
- Experience with high power air and liquid cooled rack platform design, integration, and deployment
- Experience working in customer datacenter environments when deploying systems
Skills: rack and stack, datacenter clustered environments, network switches, power systems, cooling technologies
This role has been open 59 days — slightly above the 51-day median for Hardware Systems Engineering roles.
Hardware Systems Engineering · AI ML Hardware
|
Open roles in category
953
|
Median days open
51 d
|
Median salary
$156k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | SambaNova | All employers we track in this specialty (953 roles · 102 employers) |
|---|---|---|
| Open roles in this specialty | 4 | 953 |
| Open roles in the wider Software, Firmware & Systems family | 23 | 6157 · 145 employers |
| Median days open | 59 d | 51 d (+8 d vs this employer) |
| Median salary (USD postings) | — | $156k |
Skills observed across this category: rack and stack, datacenter clustered environments, network switches, power systems, cooling technologies
Who's hiring in this category
- Intel Corporation · 68 open roles · median 34 d
- KLA Corporation · 64 open roles · median 44 d
- Teradyne · 56 open roles · median 28 d
- NVIDIA · 51 open roles · median 67 d
- Applied Materials · 49 open roles · median 64 d
- AMD · 47 open roles · median 48 d
How we counted: 953 open Hardware Systems Engineering (AI ML Hardware) roles from 102 employers tracked in the SemiconductorJobs index, counted 16 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.