Industrial Engineer

Company:

Qualcomm Technologies, Inc.

Job Area:

Operations Group, Operations Group > Industrial Engineering

General Summary:

Own and improve lab infrastructure readiness and space utilization by maintaining an accurate power/cooling system of record, performing early feasibility and due diligence, and standardizing planning assumptions. Provide data-driven recommendations that help teams match lab demand to the right spaces and sequence upgrades effectively.

Key Responsibilities

• System of Record & Data Governance: Maintain an audit-ready inventory of lab infrastructure attributes (power/cooling and key constraints), define data standards, and perform periodic accuracy checks.

• Site Assessments & Due Diligence: Perform site walks and technical due diligence to validate capacity, identify constraints/risks, and document upgrade needs.
• Standard Profiles & Planning Assumptions: Develop and maintain repeatable infrastructure profiles and load templates by lab type to enable consistent estimates and comparisons.
• Feasibility, Trade Studies & Recommendations: Evaluate candidate spaces and develop option trade studies (reuse/upgrade/new build) with high-level cost/schedule/risk inputs; present decision-ready recommendations to planners and leadership.
• Capacity Modeling, Utilization & Forecasting: Model demand vs. capacity, identify bottlenecks and optimization opportunities, and translate forecasted demand into roadmap triggers and sequencing recommendations.
• Workflow Fit & Layout Standards: Translate equipment/workflow needs into space requirements; define utilization standards and scorecards to compare spaces on readiness, flexibility, and time-to-ready.
• Cross-Functional Alignment: Partner with Facilities/QREF, IT/Networking, EHS, and lab operations to validate requirements, align on implementation approaches, and ensure code/safety considerations are addressed.
• Engineering Lab Development & Optimization: Design and optimize engineering lab layouts, workflows, and material/equipment flows to improve productivity, safety, and utilization.
• Conduct time studies, capacity modeling, and throughput analysis for lab operations and equipment usage.
• Support lab deployment, reconfiguration, and scaling initiatives in collaboration with engineering, facilities, IT, and EHS teams.
• AI & Advanced Analytics Applications: Apply AI/ML techniques (e.g., predictive modeling, clustering, anomaly detection) to lab operations data such as utilization, demand forecasting, failure trends, and space planning.
• Develop data-driven tools, dashboards, or decision models to support lab planning, asset lifecycle management, and infrastructure prioritization.
• Partner with data science, IT, or platform teams to operationalize AI solutions within existing enterprise systems.
• Process Improvement & Standardization: Lead Lean, Six Sigma, or similar process improvement initiatives across lab operations and support workflows.
• Define standard methodologies, metrics, and KPIs for lab performance, efficiency, and scalability.
• Support continuous improvement through root cause analysis, experimentation, and data-backed recommendations.
• Cross-Functional Collaboration & Influence: Serve as a technical liaison between engineering teams, lab operations, facilities, and leadership.
• Translate complex operational data into clear insights, recommendations, and executive-ready materials.
• Contribute to global lab strategy by identifying best practices, scalability opportunities, and automation candidates.

Core Competencies

• Lab infrastructure engineering fundamentals (power distribution, UPS/generators, cooling capacity, airflow constraints, heat-load assumptions).
• Capacity planning and modeling (demand vs. supply, diversity factors, growth scenarios, bottleneck analysis).
• Data management and governance (system-of-record ownership, data quality checks, audit-ready documentation).
• Standardization and repeatable frameworks (infrastructure profiles by lab type, scorecards, checklists, planning assumptions).
• Cross-functional partnership (QREF/Facilities, IT/Networking, EHS, lab operations) to validate requirements and constructability.
• Codes, standards, and safety mindset (electrical, fire/life safety, chemical and specialty-lab constraints as applicable).
• Executive-ready communication (clear recommendations, risk escalation, and decision support for governance/leadership).

Primary Deliverables

• Maintained lab infrastructure system of record (power/cooling inventory, constraints, and periodic accuracy checks