Vice President of AI & Infrastructure Sales
$280,000 - $400,000 USD yearly
Own global commercial strategy and revenue targets for embedded processors, connectivity, power management, and system-level AI solutions.
Originally posted 8 November 2026 by the employer.
About the role
The Vice President of AI & Infrastructure Sales leads global commercial strategy and execution for Renesas' AI infrastructure segment across data center, edge AI, and intelligent infrastructure markets. The role owns revenue targets for AI-focused solutions, including embedded processors, connectivity, power management, and system-level offerings.
What you'll do
- Own and deliver global revenue targets for AI-focused solutions, including embedded processors, connectivity, power management, and system-level offerings.
- Develop and execute go-to-market strategies for AI infrastructure customers across data center, edge, and industrial segments.
- Build and manage executive relationships with hyperscalers, AI platform companies, OEMs, and system integrators for long-term supply agreements and co-development.
- Build, lead, and mentor a global team of sales leaders, key account managers, and field application engineers.
- Partner with Product, Engineering, and Marketing teams to provide voice-of-customer insights that guide investments in AI-enabled SoCs, connectivity, and edge computing platforms.
- Identify and prioritize commercial expansion across edge AI, industrial AI, smart infrastructure, and hybrid cloud architectures.
What you'll need
- 12+ years of sales leadership experience in semiconductors, embedded systems, or data center infrastructure.
- Track record of driving global revenue growth and scaling enterprise sales organizations.
- Experience managing multi-year deals, strategic customer relationships, and engagements with OEMs, hyperscalers, industrial customers, or AI ecosystem partners.
- Deep understanding of semiconductor technologies, including embedded processors, power, analog, and connectivity.
- Familiarity with AI/ML deployment, especially at the edge and in intelligent infrastructure systems, along with knowledge of system-level hardware and software architectures.
- Bachelor’s degree in Engineering, Computer Science, or a related field.
Nice to have
- MBA or advanced technical degree.
Skills: sales leadership, AI infrastructure, semiconductors, revenue growth, embedded processors
More semiconductor jobs: Renesas Electronics jobs
This role has been open 0 days — well below the 59-day median for Sales Engineering roles.
Sales Engineering · AI ML Hardware
|
Open roles in category
39
|
Median days open
59 d
|
Category median salary (all employers)
$267k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Renesas Electronics | All employers we track in this specialty (39 roles · 17 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 39 |
| Median days open | 65 d | 59 d (+6 d vs this employer) |
| Median salary (USD postings) | — | $267k |
Skills observed across this category: sales leadership, AI infrastructure, semiconductors, revenue growth, embedded processors
Who's hiring in this category
- NVIDIA · 17 open roles · median 59 d
- FuriosaAI · 4 open roles · median 104 d
- Qualcomm · 3 open roles · median 24 d
- AMD · 2 open roles · median 88 d
- Ambarella · 1 open role · median 43 d
- Axelera AI · 1 open role · median 53 d
How we counted: 39 open Sales Engineering (AI ML Hardware) roles from 17 employers tracked in the SemiconductorJobs index, counted 8 Nov 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.