Senior Solutions Design Engineer

Step into a Senior Engineering role where you'll shape the future of Data Center Solutions. As the Solutions Engineer, you'll lead solution design, data center operational planning, cloud-integrated systems support, and large-scale process optimization initiatives across a global network. This role blends engineering design, supply chain optimization, technical system implementation, cloud-based analytics, and 3rd-party logistics (3PL) program leadership. The ideal candidate brings strong experience in SAP EWM, solution design, cloud technologies, data-driven analysis, and cross-functional project management.

This position is not eligible for employment visa sponsorship. Applicants must be currently authorized to work in the United States on a full-time basis without the need for current or future employer sponsorship.

In this role, you will analyze Requests for Proposals (RFPs), develop client-tailored solutions for data center logistics, and present for approval to business unit executives and clients. The right candidate will have a continuous improvement mindset and a tendency towards 5S in the workplace. You will travel domestically 25% of the time, and occasionally internationally, to perform customer site surveys to develop value propositions and solutions.

How you create impact

Develop end-to-end operational solutions for inventory management, material flow, data integration, and site-level process optimization

Partner with Business Development, Account Management, Launch, and Operations teams to develop and implement solutions for new and existing business; support Sales through proposals, presentations, and customer discussions

Design scalable data pipelines, model training environments, and inference infrastructure optimized for performance and cost

Recommend capital equipment purchases or leases (e.g., forklifts, tooling, lift assists, generators, compressed air systems, racking, sweepers/scrubbers, compactors) for project needs

Develop solution concepts for customer proposals-including process flow diagrams, KPIs, and facility layouts-in collaboration with the Engineering team

Initiate pricing by engaging Finance/Controllers early to validate financial models, ROI, and customer-specific pricing structures

Lead planning and deployment of SAP Extended Warehouse Management (SAP EWM) within data center environments, including system readiness, hypercare, training, and documentation

Design and refine data-center material flows, inventory processes, and operational control mechanisms

Integrate cloud-based platforms (Big Query, cloud data pipelines, automation tools) to improve visibility, reporting, and scalability

Analyze customer RFPs, RFQs (Request for Quote), and RFIs (Request for Information) to identify solution requirements and requirements for solutions development

Collaborate with engineering, IT, cloud infrastructure, and operations teams to implement advanced technologies-including machine learning and cloud analytics-to improve throughput, reliability, and cycle time

Develop continuous improvement frameworks using Lean, Six Sigma, cloud analytics, and advanced data modeling

Implement workflow enhancements and cloud-based automation tools to accelerate decision-making and improve performance

Clarify and resolve complex business issues by breaking them down into meaningful components, determine root causes, and redesign internal and external business processes

What we would like you to bring

Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field (PhD preferred).

5-10 years of experience conceptualizing, designing, and implementing scalable logistics, data center, and cloud-integrated solutions

5+ years of related experience working in a 3PL (Third-party Logistics) distribution or logistics environment

Comprhensive understanding of cloud platforms and data center logistics

Experience managing multiple RFPs across sectors (data center, tech, auto, consumer, retail, healthcare)

Strong understanding of security, compliance, and governance in AI and data systems

Exposure to automation systems (sortation, AGVs, AMRs, AutoStore, conveyors, goods-to-person) is a plus

Ability to travel an average of 25% of the time as needed, both domestically and internationally

What's in it for you

Kuehne+Nagel we strive daily to inspire, empower, and deliver not only to our customers, but also to our colleagues. We offer a dynamic global work environment with opportunities for excellent training programs and career mobility. Base wage is part of a competitive total rewards package that includes health and welfare benefits, a 401k retirement savings plan, tuition reimbursement, and incentive compensation for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, skills, job location, internal pay equity, and other relevant business considerations. Kuehne+Nagel reviews pay ranges regularly to ensure competitive and fair pay based on industry market data. #LI- Remote