Sr. New Product Introduction (NPI) System Engineer-Palo Alto, CA

Siemens Healthineers•Greendale, WI

3d•$143,290 - $197,021

About The Position

The Senior NPI System Engineer is a senior manufacturing technical lead and system-level integrator for complex radiation oncology treatment-delivery products and platforms. The role defines and governs manufacturing and Supply Chain intent across the product lifecycle, translating product requirements into scalable manufacturing solutions and ensuring manufacturability, quality, cost, capacity, and supply readiness are incorporated early and sustained through industrialization and launch. Working with R&D Engineering, Manufacturing Engineering, Supply Chain, Quality, Regulatory, Service, Product Management, suppliers, and manufacturing sites, the engineer leads cross-functional industrialization and technical decisions across products, platforms, and ecosystem interfaces. The position carries significant autonomy and accountability, including readiness governance, risk resolution, trade-off decisions, and alignment of manufacturing execution with system-level intent. It also advances reusable workflows, standards, lessons learned, and responsible use of AI-assisted tools to improve engineering decision-making and execution.

Requirements

Bachelor’s degree in Engineering or a related technical discipline, or equivalent.
At least 8 years of experience in New Product Introduction (NPI), Manufacturing Engineering, Industrialization, Systems Engineering, or related technical leadership roles, as stated in the opening qualifications.
Strong system-level understanding of product architecture, manufacturing processes, validation, product configuration, and Supply Chain interactions.
Demonstrated ability to lead complex technical work across global, cross-functional teams and influence decisions without direct authority.
Proven application of Design for Excellence (DfX), structured problem-solving, risk management, and evidence-based decision-making.
Ability to communicate complex issues clearly, frame credible trade-offs, and align technical and business stakeholders.
Deep knowledge of manufacturing processes and industrialization methods, including translating complex requirements into scalable manufacturing intent.
Ability to apply AI-assisted tools effectively while independently checking results against engineering data, requirements, and context.
Ability to develop and apply reusable workflows, governance methods, and standardized outputs.

Nice To Haves

Advanced qualifications are preferred.
Experience in radiation oncology, medical devices, or another highly regulated, safety-critical, and technically complex industry.
Experience in regulated, global, or complex product environments, including work across functions, sites, or platforms.

Responsibilities

Own manufacturing and Supply Chain intent and technical decisions for assigned products, platforms, or ecosystems across the product lifecycle.
Translate product requirements into system-level requirements for manufacturability, scalability, quality, cost, capacity, and supply readiness.
Drive Design for Excellence (DfX) alignment with R&D, influencing architecture and design decisions to improve manufacturability, testability, serviceability, quality, reliability, and lifecycle cost.
Lead technical trade-off decisions involving product performance, patient safety, quality, cost, schedule, supply risk, and scalability.
Orchestrate industrialization across Manufacturing Engineering, sites, and suppliers, aligning processes, tooling, validation, product configuration, and production solutions with manufacturing intent.
Establish, track, and maintain objective, evidence-based readiness criteria and governance for prototype, pilot, validation, transfer, and production builds and ramps.
Identify, manage, and resolve system-level risks involving design, manufacturing, suppliers, materials, capacity, configuration, and cross-site deployment; escalate decisions when needed.
Provide technical leadership and align stakeholders across global functions, sites, product dependencies, and leadership levels without relying on direct authority.
Contribute to NPI program planning, execution, and cross-product industrialization strategy, ensuring manufacturing intent is consistently implemented across sites and suppliers.
Develop reusable standards, workflows, governance methods, and lessons learned to improve accuracy, traceability, consistency, and scalability.
Use AI-assisted tools to support productivity and problem-solving, independently validating outputs against engineering data, requirements, and context.
Support achievement of readiness milestones, reduction of late-stage design changes, target first-pass yield at launch, delivery of DfX requirements, and completion of industrialization deliverables.