Eng - Mechanical Engineer Advanced

ICONMA, LLC

  • Austin, TX
  • 3 days ago
  • $54.32–$59.32 Per Hour

Highlights

Lead system-level design, analysis, and troubleshooting of etching, and chemical/gas delivery systems (gas panels, MFCs, FRCs, valves, and subsystems) across multiple business units. Identify root causes of complex field issues (e.g., flow instability, contamination, pressure transients) and drive system-level corrective actions.

Numbers & Facts

LocationAustin, TX
Salary$54.32–$59.32 Per Hour

Description

Our Client, a Material Engineering company, is looking for an Eng - Mechanical Engineer – Advanced for their Austin, TX location.
 
Responsibilities:
  • System-Level Engineering
  • Lead system-level design, analysis, and troubleshooting of etching, and chemical/gas delivery systems (gas panels, MFCs, FRCs, valves, and subsystems) across multiple business units
  • Identify root causes of complex field issues (e.g., flow instability, contamination, pressure transients) and drive system-level corrective actions
  • Develop and validate system-level models (analytical / CFD / digital twin) to predict flow, thermal, and contamination behavior
  • Define system architecture requirements and drive alignment across component suppliers and internal teams
  • Testing, Validation & Qualification
  • Define, coordinate, and execute system-level and component-level test plans on COE lab test stands
  • Analyze test data and generate detailed engineering reports to support qualification, reliability, and supplier 8D closure
  • Drive correlation between lab testing, simulation models, and field performance
  • Design & Development
  • Design and modify mechanical layouts, gas panel schematics, and subsystem architectures for new and existing platforms
  • Develop specifications for critical flow control components (MFCs, FRCs, MFVs, valves, regulators)
  • Support design for reliability (DfR), manufacturability (DfM), and serviceability (DfS) for chemical delivery subsystems
  • AI / Digital Engineering Enablement
  • Drive development and deployment of AI-based tools for troubleshooting, knowledge management, and component selection
  • Partner with software/data teams to structure engineering knowledge for AI applications (e.g., knowledge agents, workflow automation)
  • Identify opportunities to leverage AI/digital twin to reduce field escalations and accelerate root-cause analysis
  • Cross-Functional & BU Engagement
  • Act as COE technical interface to Business Units (BU), Systems COE, and suppliers
  • Lead system-level engineering discussions and drive resolution of cross-functional issues
  • Build consensus across stakeholders and align on roadmap priorities
  • Supplier & Specification Ownership
  • Define and manage mechanical and functional specifications for key suppliers
  • Support supplier qualification, reliability activities, and change control (ECR, SPS, SNF)
  • Evaluate new technologies and drive roadmap alignment for next-gen flow control solutions
 
Requirements:
  • Explains difficult or sensitive information; works to build consensus
  • Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements
  • Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information
  • Minimum Qualifications
  • Bachelor’s degree in Mechanical Engineering or related field
  • 5–7 years of experience in mechanical/system engineering development
  • Strong fundamentals in fluid dynamics, thermodynamics, heat transfer, and gas flow systems
  • Experience with system-level problem solving (beyond component-level design)
  • Hands-on experience with lab testing, data analysis, and engineering report generation
  • Proficiency in CAD tools and engineering documentation (GD&T, drawings, specifications)
  • Preferred Qualifications
  • Experience in semiconductor equipment, chemical delivery systems, or gas handling systems
  • Knowledge of flow control devices (MFCs, FRCs, valves, regulators) and pressure/flow interactions
  • Experience with system modeling tools (CFD, MATLAB, Python, or equivalent)
  • Familiarity with AI/ML applications in engineering (data analysis, automation, knowledge systems)
  • Understanding of Applied Materials product lifecycle, supplier ecosystem, and qualification processes
  • Experience working across cross-functional teams and multiple business units
  • Exposure to digital twin, system simulation, or model-based engineering approaches
 
Why Should You Apply?

Similar Jobs

See more jobs