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| Department | PRODUCT ENGINEERING |
| Location | Remote |
Location: Remote
At Switch, we don’t just design, build and operate data centers—we are enabling the technology of the future. Led by Founder & CEO, Rob Roy, we believe in revolutionary innovation, operational excellence and the principle of karma. Switch is where talented people come together to EVOLVE the digital world.
We believe that innovation isn’t just about technology—it’s about the people, culture, and purpose that make it happen. Every Switch team member contributes to a mission greater than themselves: to create the world’s most advanced digital infrastructure that powers the progress of humanity.
As a Systems Engineer, you will define and model complex hyperscale platforms that support both AI/ML and traditional workloads. This role exists to bring structure, clarity, and traceability to system architecture across large-scale infrastructure environments.
You will apply Model-Based Systems Engineering (MBSE) practices to define system boundaries, interfaces, and performance characteristics. Your work directly supports scalable platform design and alignment across hardware, software, and infrastructure teams.
Develop and maintain system models using MBSE methodologies (SysML/UML)
Define system architectures, interfaces, and boundaries across compute, storage, and networking domains
Translate business and technical requirements into structured system models and specifications
Perform trade studies evaluating performance, scalability, and cost across AI and traditional workloads
Ensure traceability between requirements, architecture, and validation
Partner with hardware, software, and infrastructure teams to align system design
Support documentation of system behavior, dependencies, and constraints
Contribute to continuous improvement of modeling practices and standards
You think in systems and can abstract complex environments into structured models
You communicate technical concepts clearly across teams
You apply structured methodologies to ambiguous problems
You balance technical detail with practical implementation
You collaborate effectively across engineering disciplines
You take ownership of modeling outputs and follow through to completion
Required:
3+ years of experience in systems engineering with a focus on MBSE
Hands-on experience with SysML/UML and MBSE tools (e.g., Cameo, MagicDraw, Capella, Rhapsody)
Experience modeling complex, distributed, or large-scale systems
Familiarity with AI/ML workloads and traditional enterprise or cloud workloads
Strong understanding of system architecture and design principles
Ability to communicate system models and design decisions clearly
Preferred:
Experience in hyperscale or cloud infrastructure environments
Exposure to GPUs, accelerators, and high-performance networking
Experience with requirements management tools
Background in performance modeling or capacity planning
We encourage you to apply even if you do not meet every preferred qualification.
A Culture of Karma – We are self-motivated by karma, ensuring our actions contribute to a positive, supportive and forward-thinking environment
Industry Leading Designs – Work with the most advanced data center technology on the planet and be a part of emerging technology development
Flexibility & Remote Opportunities – Whether in-office, hybrid, or fully remote, we offer the technology and support to keep teams connected and productive
Career Stability & Growth – In this expanding industry, we invest in our people, providing opportunities & advancement in a stable, growing company
Generous Benefits Package – Switch provides comprehensive coverage for you and your family that can be tailored to fit your personal needs, and more
This is more than a job—it’s a mission. If you’re ready to model and design systems that support next-generation AI and hyperscale platforms, we want to hear from you.
Apply Now and Let’s Build the Future Together.
Remote applicants must reside in one of our registered states: AL, AZ, CA, CO, GA, IL, LA, MA, MI, MO, NC, NV, NY, OR, TX, UT, VA, WA.