$200,000 - $330,000 USD yearly
Originally posted 1 July 2026 by the employer.
About the role
Lead global commercial strategy and execution for Renesas' AI infrastructure segment across data center, edge AI, and intelligent infrastructure markets. The scope includes embedded processors, connectivity, power management, and system-level semiconductor offerings.
What you'll do
- Own and deliver global revenue targets for AI-focused solutions, including embedded processors, connectivity, and power management. - 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. - Lead complex, high-value engagements involving co-development, long-term supply agreements, and ecosystem partnerships. - 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 guide product roadmaps for AI-enabled SoCs and edge computing platforms.
What you'll need
- 12+ years of sales leadership experience in semiconductors, embedded systems, or data center infrastructure. - Proven track record of managing global revenue growth, multi-year deals, and enterprise sales organizations. - Experience building relationships 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 at the edge and in intelligent infrastructure systems. - Bachelor’s degree in Engineering, Computer Science, or a related field.
Nice to have
- MBA or advanced technical degree.
Skills: global revenue targets, go-to-market strategies, executive relationships, AI platform companies, semiconductor technologies
This role has been open 111 days — well above the 44-day median for Sales Engineering roles.
Sales Engineering · AI ML Hardware
|
Open roles in category
42
|
Median days open
44 d
|
Median salary
$265k
|
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 (42 roles · 17 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 42 |
| Median days open | 111 d | 44 d (+67 d vs this employer) |
| Median salary (USD postings) | — | $265k |
Skills observed across this category: global revenue targets, go-to-market strategies, executive relationships, AI platform companies, semiconductor technologies
Who's hiring in this category
- NVIDIA · 15 open roles · median 42 d
- FuriosaAI · 4 open roles · median 87 d
- Qualcomm · 3 open roles · median 7 d
- AMD · 2 open roles · median 71 d
- Infineon Technologies · 2 open roles · median 54 d
- Intel Corporation · 2 open roles · median 28 d
How we counted: 42 open Sales Engineering (AI ML Hardware) roles from 17 employers tracked in the SemiconductorJobs index, counted 22 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.