Originally posted 18 May 2026 by the employer.
Focus on creating and pursuing business opportunities for the RNGD accelerator platform in the US market.
About the role
This role involves creating and pursuing business opportunities in the US market for the RNGD accelerator platform.
What you'll do
- Own full-cycle US enterprise sales including prospecting, qualification, technical POC coordination, negotiation, and contract closure.
- Build net-new pipeline at frontier AI labs, hyperscalers, and large enterprises running production AI workloads.
- Navigate complex, multi-stakeholder buying committees across lengthy sales cycles.
- Partner with FuriosaAI Solutions Architects during technical evaluations.
- Identify and develop strategic partnerships with US-based OEMs, system integrators, and channel partners.
- Represent FuriosaAI at key US AI events and in executive briefings to build brand credibility.
- Feed US market intelligence back to Seoul HQ product and engineering teams.
What you'll need
- 7+ years of quota-carrying enterprise sales, with at least 3 years in technical infrastructure (semiconductors, AI/ML platforms, cloud compute, networking, or storage).
- 100%+ quota attainment in 2 of the last 3 years with presentable deal size and sales cycle length record.
- Demonstrated net-new logo acquisition track record.
- Existing US relationships with AI infrastructure buyers: ML platform leads, infra VPs, or CTOs at frontier labs, hyperscalers, or large AI-native enterprises.
- Proven ability to close complex US enterprise deals with multi-stakeholder committees, technical POCs, and lengthy procurement processes.
- Authorized to work in the US; able to travel domestically and overseas as needed.
Nice to have
- Prior experience at an AI chip startup, GPU vendor, or cloud silicon team.
- Existing network at US AI-native scale-ups and sovereign AI/government compute programs.
- Familiarity with NPU/GPU accelerator ecosystems, LLM inference infrastructure, and AI data center architecture.
- Experience coordinating across global engineering/product organizations.
- Background in CS, EE, or related technology field.
Skills: enterprise sales, technical POC coordination, AI/ML platforms, cloud compute, accelerator platform
This role has been open 84 days — well above the 41-day median for Sales Engineering roles.
Sales Engineering · AI ML Hardware
|
Open roles in category
42
|
Median days open
41 d
|
Median salary
$259k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | FuriosaAI | All employers we track in this specialty (42 roles · 17 employers) |
|---|---|---|
| Open roles in this specialty | 4 | 42 |
| Median days open | 84 d | 41 d (+43 d vs this employer) |
| Median salary (USD postings) | — | $259k |
Skills observed across this category: enterprise sales, technical POC coordination, AI/ML platforms, cloud compute, accelerator platform
Who's hiring in this category
- NVIDIA · 15 open roles · median 39 d
- FuriosaAI (this employer) · 4 open roles · median 84 d
- Qualcomm · 3 open roles · median 4 d
- AMD · 2 open roles · median 68 d
- Infineon Technologies · 2 open roles · median 51 d
- Intel Corporation · 2 open roles · median 25 d
How we counted: 42 open Sales Engineering (AI ML Hardware) roles from 17 employers tracked in the SemiconductorJobs index, counted 19 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. Figures refresh nightly.