Hardware Systems Engineer I

Crusoe•San Francisco, CA

2d•$132,000

About The Position

Are you ready to build the backbone of sustainable AI infrastructure? We are seeking a Hardware Systems Engineer to join Crusoe’s team. This role is a "launchpad" position designed for high-potential graduates to master the journey of hardware—from the first time a board is powered on in a lab to seeing it run at scale in a data center. You will help us find and fix the "bugs" that happen when high-performance hardware meets the real world. If you love taking things apart to see how they work and want to build the future of GPU-based computing, we want to meet you. This position is not eligible for employer-sponsored work authorization. Candidates must be authorized to work in the United States at the time of hire and maintain ongoing work authorization without employer sponsorship.

Requirements

Education: Completing a degree in Electrical Engineering, Computer Engineering, or a related field (Graduating Dec '25 – May '26).
The Fundamentals: A strong understanding of computer architecture (how CPUs, memory, and I/O work together).
Lab Skills: Experience using basic hardware tools (like oscilloscopes or multimeters) and a comfort level working with physical hardware.
Coding Basics: You don’t need to be a Software Engineer, but you should be comfortable writing scripts (Python is our favorite) to solve problems.
Curiosity: A "tinkerer" mindset. Maybe you’ve built your own PC, worked on a robotics club project, or experimented with Raspberry Pis/Arduinos.
Communication: The ability to explain a technical problem clearly to someone else.

Nice To Haves

Internship experience at a technology or hardware company.
Familiarity with Linux environments (the command line is your friend).
Projects involving GPUs, high-speed networking, or server hardware.
An interest in renewable energy or sustainable technology.

Responsibilities

Hardware Bring-up: Be there for the "first breath" of new server platforms, helping test and validate that the hardware performs as designed.
Deep-Dive Troubleshooting: Learn how to use professional diagnostic tools to solve complex issues with:
High-Speed Links (PCIe): Ensuring GPUs and CPUs talk to each other at max speed.
Data Fabrics (InfiniBand): Helping manage the "web" that connects thousands of chips.
Storage (NVMe): Analyzing why drives fail or slow down under heavy AI workloads.
Automation & Scripting: Use Python or Shell to build tools that automate repetitive testing, so we can find hardware flaws faster.
Collaborative Engineering: Work across different worlds—mechanical (cooling), firmware (code that talks to chips), and software—to solve "big picture" problems.
Sustainability: Help Crusoe use "wasted" energy to power these systems, making high-performance computing better for the planet.