Jobs / United States / Renesas Electronics America INC
Senior Staff Product Management
Renesas Electronics America INC · 🇺🇸 Tempe, AZ, US
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 56 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 18 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Renesas Electronics America INC paid sponsored hires in similar roles1 certified filing for “Principal Product Marketing Specialist (Sales Engineer)” (Sales Engineers) in CA: $255k–$255k, median $255k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Renesas Electronics America INC
The US Department of Labor certified 56 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 18 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Renesas Electronics America INC →
About the role
We are seeking a Sr. Staff Strategic Capacity PM to own long-term capacity gap identification, provide solution proposals, and lead the initiatives to solve capacity constraints. This role will develop integrated demand/capacity models, maintain internal and external supply chain capacity profiles by site, support surge planning, and lead constraint engineering to identify and solve hidden systemic bottlenecks early enough to align capacity, cost, and DFM actions before NPI start and production ramp. The ideal candidate combines strong quantitative modeling skills, semiconductor supply chain knowledge, constraint engineering discipline, and program management experience to deliver predictable capacity availability at scale, reduce late capacity escalations, prevent surprise bottlenecks at ramp, and connect capacity investment and qualification roadmaps to business needs. Renesas Electronics, a leading global semiconductor company, is rapidly scaling its AI-focused power delivery business. Products include high-performance digital power VRMs, multiphase controllers, Smart Power Stages (SPS), Vertical Power Stages (SPS with integrated capacitors and multiple silicon die), Power Towers (power modules integrating multiple SPS-equivalents with capacitors and inductors), and power MOSFETs. Key Responsibilities Long-term Demand & Capacity Modeling • Develop and maintain component-level demand/capacity models across product lines, technology nodes, manufacturing flows, and planning horizons. • Build scenario-based models for base, upside, downside, and surge demand to support executive capacity decisions. • Establish planning assumptions, model governance, and refresh cadence to improve forecast consistency and decision quality. Supply Chain Capacity Profiles & Constraint Management • Create and maintain supply chain capacity profiles across internal and external manufacturing sites, including front-end, back-end, test, and critical supplier constraints. • Identify structural capacity constraints early and define mitigation paths before NPI start or production ramp commitments. • Support surge planning by modeling practical upside capacity, recovery timing, qualification dependencies, and risk buffers. • Drive fewer late capacity escalations by converting long-range signals into actionable capacity readiness plans. Constraint Engineering & Systemic Bottleneck Resolution • Identify hidden systemic bottlenecks across design, manufacturing, test, supplier capability, yield, cost, and capacity interfaces before they impact ramp execution. • Lead data-driven root cause analysis using operational, engineering, supplier, yield, and cycle-time data to isolate constraint drivers and quantify business impact. Program Management • Program Manage the constraint resolution initiatives from detection through mitigation, closure, and recurrence prevention across cross-functional teams. • Feed structural fixes into DFM, capacity planning, cost reduction, qualification, and supplier readiness roadmaps. • Mitigate systemic scaling failures by converting recurring bottlenecks into durable process, design, sourcing, or capacity solutions. • Facilitate cross-functional capacity reviews to align demand signals, site readiness, supplier capability, and qualification plans. Risk Management & Analytics • Conduct sensitivity analysis on demand volatility, supplier constraints, site readiness, surge scenarios, and systemic scaling risks. • Drive continuous improvement in modeling methods, data quality, and planning tools to improve capacity predictability at scale. • Improve recovery speed from issues that do occur by establishing decision paths, mitigation playbooks, and feedback loops into capacity and DFM planning.