[Hiring] System NPI Engineer @US Job Finders

Role Description

US Job Finders is seeking a practical, hands-on System NPI (New Product Introduction) Engineer to support an early-stage AI infrastructure research and engineering company. The company designs server and accelerated (AI/GPU) hardware systems and needs an engineer who can help move them from early prototype builds toward repeatable, high-yield production.

This is a remote-first, part-time, project-based contract. You will work from your home office with the founder and manufacturing and integration partners, reviewing designs, writing test specifications, debugging early builds, tracking yield, and documenting what you learn. The first project is expected to be small and the scope may grow, so the person we hire will help shape how the company works with remote engineers.

We are not looking for the fastest or most credentialed engineer. We are looking for someone who is solid, flexible, and not intimidated by hard problems. You should have good conceptual knowledge of how servers and GPU systems fit together, be comfortable diagnosing problems across hardware, firmware, and software, and be able to run with the work without needing your hand held. Formal certifications are not required, and candidates with non-traditional backgrounds are welcome if they can show what they can do.

Qualifications

• Solid conceptual knowledge of servers and computer hardware, including compute, memory, storage, networking, power, and cooling.
• Working comfort with Linux and the command line for troubleshooting and diagnostics.
• Logical, structured approach to root-causing problems that span hardware, firmware, and software.
• Ability to learn new tools and systems quickly and to work independently with little direction.
• Clear communication in English, in writing and on calls, with a direct, honest style.
• Flexible and resilient. You handle direct feedback well and do not take technical disagreements personally.
• Reliable computer and internet connection for remote work.

Requirements

• Experience taking a server or GPU/AI-accelerated system from prototype to mass production.
• Experience with BMC interfaces, IPMItool, OpenBMC, and hardware stress-testing utilities.
• Familiarity with NVIDIA CUDA tools (such as nvidia-smi) or AMD ROCm for monitoring GPU health.
• Python or Bash scripting, and experience using AI coding assistants or automation tools in daily work.
• Experience tracking First Pass Yield, defect data, or factory quality metrics.
• Experience working with overseas manufacturing or integration partners.
• Certifications such as CompTIA Linux+, LPIC, Cisco CCNA, or CCNP (helpful, not required).
• Willingness to travel to a factory or integration site later if the project requires hands-on, in-person work.

Benefits

• Remote, part-time, project-based contract work with an AI infrastructure company.
• Competitive hourly compensation based on experience, with room for a higher rate for strong results.
• Direct access to the founder and a real voice in how the work gets done.
• Flexible working hours.
• The chance to continue and expand the engagement as projects grow.
• Reasonable work equipment needs can be discussed with the client.

What Success Looks Like

• Higher First Pass Yield, with more systems passing factory tests the first time and less rework.
• Early prototype builds and production runs hit their scheduled milestones.
• Hardware, firmware, and software failures are found, root-caused, and closed quickly.
• The time to assemble and test a complete system goes down.
• Test specs, documentation, and data analysis are clear and organized, so the founder always knows where things stand.
• The founder can hand off a problem and trust that it is handled.