Senior Application Engineer - Thermal

Vertiv is currently looking to add a new member to our team of associates. We look for people who are 100% team oriented, self-driven, and technically proficient. We are building a team of motivated and detail-oriented people who will produce a quality product for some of the most prestigious clients in the world. The global economy is electrifying, and this demand is being primarily driven by the surge in AI (artificial intelligence). At Vertiv we’re here to Power and Cool this electrification transformation. 

This opportunity is for someone who wants to work within a technically driven team with minimal functional management and continue to build on the reputation we have created throughout the world to establish the same reputation in the United States. This means that everyone is expected to be self-driven. Our leadership team will guide you on projects which suit your strengths, but a willingness to get the job done and overcome obstacles is a must. This position is best suited to someone who enjoys a variety of new challenges, a hands-on environment and will accept the challenges and reap the benefits of working with a team that likes to solve difficult problems for our customers. You will have an excellent opportunity to gain exposure to Power & Thermal design in Asia markets. 

Reporting to the Manager, Pre-Sales Application Engineering. 

The Senior Application Engineer (SAE) is responsible for providing technical leadership in the design, application, optimization, and proposal development of data center thermal infrastructure solutions. The role acts as the technical focal point for Cooling, CRAC, CRAH, Chilled Water Systems, In-Row Cooling, Liquid Cooling, Containment, and Thermal Management solutions supporting sales pursuits, bid activities, consultant engagement, and customer projects.

The Senior Thermal Application Engineer leads complex solution development, drives technical competitiveness, mentors junior engineers, and ensures high-quality engineering deliverables that balance compliance, performance, risk, and profitability. Responsibilities will include but are not limited to: 

Technical Solution Leadership

• →Lead thermal solution design for medium to large-scale data center opportunities.
• →Develop optimized cooling architectures based on customer requirements and design objectives.
• →Evaluate alternative solutions to improve competitiveness, efficiency, and lifecycle performance.
• →Ensure technical compliance with specifications, standards, and customer requirements.
• →Provide technical ownership for complex thermal projects and strategic bids.

Application Engineering

• →Perform cooling capacity calculations and equipment sizing.
• →Develop cooling system layouts and thermal infrastructure architecture.
• →Review and validate:
  • →Heat load calculations
  • →Cooling redundancy designs
  • →Airflow management strategies
  • →Chilled water system configurations
  • →Liquid cooling system designs
• →Support CFD analysis and interpretation of thermal performance studies.
• →Ensure engineering deliverables meet quality and accuracy requirements.

Bid & Proposal Support

• →Lead technical solution development for tender and bid submissions.
• →Own thermal engineering deliverables including:
  • →Technical proposals
  • →Compliance matrices
  • →Datasheets
  • →BOMs
  • →Design drawings
  • →Technical clarifications
• →Support value engineering initiatives to improve win rate and margin performance.
• →Participate in technical reviews and risk assessments before submission.

Customer & Consultant Engagement

• →Conduct technical presentations and solution workshops.
• →Engage consultants during specification development and design stages.
• →Support sales teams in customer meetings, technical discussions, and bid clarification sessions.
• →Act as a trusted advisor on thermal infrastructure and cooling technologies.
• →Influence solution specifications toward Vertiv technologies and best practices.

Technical Risk Management

• →Identify technical risks associated with proposed solutions.
• →Evaluate non-standard requirements and custom configurations.
• →Recommend mitigation plans for design, performance, or delivery risks.
• →Escalate critical risks to management and appropriate stakeholders.

Cross-Functional Collaboration

• →Work closely with:
  • →Sales Teams
  • →Bid Management
  • →Product Management
  • →Factory Engineering
  • →Procurement
  • →Service Teams
  • →Regional Application Engineering Teams
• →to ensure successful solution development and customer support.

Innovation & Competitiveness

• →Drive solution standardization and reusable design frameworks.
• →Evaluate emerging cooling technologies, including:
  • →Direct-to-chip liquid cooling
  • →Rear door heat exchangers
  • →Immersion cooling
  • →High-density AI infrastructure cooling
• →Provide market intelligence on competitor thermal solutions.
• →Support development of tools, calculators, design guides, and engineering standards.

Team Development & Technical Mentorship

• →Mentor Application Engineers and junior thermal engineers.
• →Conduct technical coaching and knowledge-sharing sessions.
• →Support competency development across the Application Engineering organization.
• →Review engineering outputs and provide technical guidance.

 Proven exposure and track record as follows:

• Display a proactive flexible approach to working within a team environment. 
• University/College Degree or professional qualification in Mechanical Engineering. Major in Refrigeration, or HVAC is preferable.
• Minimum 3~5 years’ experience in related application & technical field. Experience with Data Center / CRAC units. 
• Understanding the Data Center Standard has added advantages (uptime, BICSI, DCDC, TIA).
• Ability to work effectively and diligently as an individual and team member.
• Excellent communication and interpersonal skills. 
• AutoCAD design skills and CFD (Computer Fluid Dynamic) simulation skill is added advantages.
• Experience supporting large data center projects is highly preferred.
• Experience with colocation, hyperscale, enterprise, or AI data center projects is advantageous.

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