Deep Learning Compiler Engineer at NVIDIA developing optimizations for deep learning models and GPUs. Collaborating with cross - functional teams and enhancing the next generation of AI technology.
About the role
- Sr. Advanced Manufacturing Engineer at Honeywell ensuring product cost and producibility targets are achieved. Engaging in new product development programs and manufacturing evaluations.
Responsibilities
- Lead the implementation of new manufacturing techniques
- Review conceptual and development designs for cost, quality, manufacturability, and yield
- Manage Manufacturing Readiness Level (MRL) items to meet IPDS goals
- Manage Unit Product Cost (UPC) models to meet Flawless Launch and APQP goals
- Ensure Design benefit from the APQP artifacts of PMAP, DFMEA, PFMEA, Control Plan, and PPAP
- Ensure Product benefits from the Flawless Launch artifacts of DFM Scorecards, Heat Map, PRR, and MRA
- Interface with Engineering and Sourcing to identify Suppliers meeting capacity, cost, and capability goals
- Identify and manage new product assembly, test, or tooling Capital needs
- Drive IPDS adherence for all ISC related items
- Manage Cost Take Out (CTO) efforts and risk mitigation plans
- Drive DFX (Manufacturing, Assembly, Test, Lean) activities
- Predict and Manage Product Rolled Throughput Yield (RTY) Efforts to Aero RTY goals
- Facilitate Production Readiness Reviews and associated Phase 5/C action closures
- Interface with Production Cell(s) to ensure smooth Production Transitions
- Provide Proposal ISC artifacts in IPDS Phase 1/A and Phase 2/B as required
- Provide AME/ISC scheduling, planning, and budget management to Program Management as required
- Understand, manage, and achieve AME HMR hardware delivery program milestones
- Drive IPDS adherence for all ISC related items in the Phase Exit Criteria Assessment (PECA) check sheets
- Achieve ISC Program Milestones, maintain required IPDS metrics and provide status presentations
- Support AME HOS activities including standard work definition and tiered MOS accountability
Requirements
- Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics.
- 5+ years of Engineering, Program Management or Integrated Supply Chain experience
- Proven experience in advanced manufacturing, process optimization, and lean manufacturing principles.
- Experience with data analysis and statistical process control.
- Excellent problem-solving and decision-making skills.
Benefits
- employer-subsidized Medical
- Dental
- Vision
- Life Insurance
- Short-Term and Long-Term Disability
- 401(k) match
- Flexible Spending Accounts
- Health Savings Accounts
- EAP
- Educational Assistance
- Parental Leave
- Paid Time Off (for vacation, personal business, sick time, and parental leave)
- 12 Paid Holidays
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