Microvision
Sr Materials Planner
Orlando, Florida · Senior
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Analyze supply and demand at the part-number level, proactively identifying shortages, excess inventory, allocation risks, and capacity constraints.
- Monitor inventory health, inventory turns, safety stock levels, excess and obsolete inventory exposure, and inventory accuracy.
- Coordinate resolution activities for non-conforming, quarantined, or obsolete inventory.
Responsibilities
- Develop and execute mitigation plans to prevent line-down situations and customer delivery impacts.
- Manage supplier commitments and delivery schedules for long-lead and constrained components, including semiconductors, optics, custom electronics, and mechanical assemblies.
- Partner with Procurement, Manufacturing, Engineering, Quality, and Program Management teams to ensure material readiness across production and new product introduction (NPI) activities.
- Collaborate with Engineering on BOM changes, product revisions, and engineering change orders (ECOs) to minimize supply chain disruption.
- Support manufacturing scheduling and production sequencing decisions based on material availability and supply constraints.
- Support Sales & Operations Planning (S&OP) by providing supply assessments, scenario modeling, inventory projections, and risk analysis.
- You will work cross-functionally with Procurement, Manufacturing, Engineering, Quality, and Operations leadership to drive material readiness, optimize inventory investment, and support business growth.
- Own the Material Requirements Planning (MRP) process for assigned product lines and commodities, converting demand forecasts and production schedules into purchase requirements and supply plans.
- Drive inventory optimization initiatives that improve service levels while reducing working capital requirements.
- Develop reporting and dashboards to monitor planning performance and material readiness.
Requirements
- This is an opportunity to have a direct impact on product delivery, customer satisfaction, inventory performance, and MicroVision's ability to scale advanced technology solutions.
- 5+ years of experience in Materials Planning, Production Planning, Supply Planning, or Supply Chain Management within a manufacturing environment.
- Hands-on experience with ERP/MRP systems such as NetSuite, SAP, Oracle, Microsoft Dynamics, or similar platforms.
Nice to have
- APICS / ASCM Certification (CPIM, CSCP, or CLTD).
- Experience planning supply for semiconductors, optical systems, PCBA assemblies, sensors, or other allocation-sensitive electronic components.
- Experience supporting New Product Introduction (NPI) and product ramp activities.
- Experience in automotive, autonomous systems, lidar, electronics, defense, aerospace, or advanced technology manufacturing environments.
- Knowledge of Lean Manufacturing, Six Sigma, Kaizen, or Continuous Improvement methodologies.
- Experience working in global supply chain environments with international suppliers and contract manufacturers.
- Occasional lifting of up to 25 lbs. and time spent standing or walking through manufacturing areas should be expected.
Benefits
- Maintain planning master data within ERP systems, including lead times, lot sizes, reorder parameters, safety stock settings, and sourcing rules.
This listing is sourced directly from Microvision's careers page and normalized into a canonical job model.