Systems Modeling Mechanical Engineer, Fleet Remediation Engineering

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Automotive Repair and Maintenance, Bridge Building, Business Case, Civil Engineering, Cloud Computing, Computer Engineering, Cross-Functional, Data Modeling, Design Verification, Field Trials, Functional Testing, Hardware Design, Heat Exchanger, Laboratory Testing, MATLAB, Mechanical Engineering, Mentoring, Network Architecture/Engineering, Network Operations Center, Operational Support, Operations Management, Performance Modeling, Performance Tuning/Optimization, Product Design, Prototyping, Python Programming/Scripting Language, Quality Assurance Methodology, Root Cause Analysis, Safety Standards, Scripting (Scripting Languages), Simulation, Startup, Supply Chain, System Integration (SI), System Validation, Test Data, Test Scenario, Testing, Verification Plans
LOCATION
Seattle, WA
POSTED
30+ days ago

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

As a Systems Modeling Mechanical Engineer, you will bridge the gap between physical infrastructure and virtual simulation. You will be responsible for creating, maintaining, and validating high-fidelity models of our data center cooling systems, using these models to optimize performance, predict failures, and validate innovative product designs (such as advanced liquid cooling or high-density air-handling units) before deployment.

If you are passionate about innovative projects at hyper-scale and meet these qualifications, this role is for you!

Key job responsibilities

  • Build and maintain high-fidelity system models of data center mechanical systems - including cooling infrastructure (CRAC/CRAH, DAHU, chillers, liquid cooling) and airflow environments - continuously calibrated against physical test data and field measurements.
  • Develop and execute CFD simulations to predict thermal performance, pressure drop, airflow distribution, and failure modes across a range of operating conditions.
  • Automate simulation workflows and "what-if" scenario testing using Python, MATLAB, or equivalent scripting tools to accelerate design iteration.
  • Lead pre-deployment validation of new and FOAK mechanical products - including rear-door heat exchangers, cold plates, DLC systems, high-density air handling units, and advanced rack architectures.
  • Design and execute Hardware-in-the-Loop (HIL) lab testing that replicates realistic datacenter loading scenarios, validating system behavior under conditions that mirror Day 1 field deployment.
  • Define and own Design Verification Plans (DVPs) and test procedures for prototype hardware, covering thermal, pressure, flow, and transient response testing.
  • Perform Root Cause Analysis (RCA) on design failures by reproducing failure modes in simulation or the physical lab, producing data-backed validation reports that support deployment sign-off decisions.
  • Partner with cross-functional teams to validate integrated system performance and build simulation-based business cases for new technology adoption.
  • Develop institutional validation frameworks - repeatable test methodologies, simulation standards, and acceptance criteria - that scale across datacenter programs.
  • Ensure deployed systems are validated against realistic failure scenarios, load transients, and edge-case conditions to support Day 1 operational readiness.

About the team

Why AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles