Principal Technologist, Advanced Infrastructure

What success looks like in this role:

Where AI Strategy Meets Enterprise Reality
The Global AI Practice is the company's center of excellence for artificial intelligence - the team that sets the standard for how AI is built, governed, and trusted across our enterprise and with the clients we serve worldwide. We don't just talk about AI transformation. We lead it.
If you're ready to do the same, read on.

Core Knowledge
o Expertise in advanced computing archetypes (AI Factories based on NVIDIA, High Performance Compute, etc) including discrete compute, storage, network requirements
o Expertise in direct liquid cooling (DLC) - cold plates, rear-door heat exchangers, immersion cooling - and integration with chilled water/cooling tower infrastructure per ASHRAE/OCP specs
o Experience with new and emerging compute technologies (CPU, GPU, HPC, DLC, RoCE networking)
o Expertise in high-speed storage designed for extreme workloads and scalability, including S3-compatible object storage, parallel filesystems; ability to design hot/warm/cold AI and HPC pipeline storage tiers
o Advanced training and modeling techniques leveraging AI (Augmented Reality, Virtual Reality, Digital Twin, etc)
o Able to industrialize these models as a services offering or for use within the company for training field engineers
o Experience with modern micro-services based operating environments and the dependencies on upper layer software defined platforms to enable advanced computing

Enablement & Evangelism
o Ability to produce reference architecture documentation and bill of materials for AI infrastructure builds
o Comfortable presenting infrastructure design options to both technical teams and executive stakeholders (and understanding the audience)
o Experience supporting pre-sales or client advisory conversations on AI infrastructure readiness

You will be successful in this role if you have:

Required Qualifications:
o BA/BS degree and 8-12 years relevant experience OR equivalent combination of education and experience. Master's degree or Ph.D. preferred

Preferred Qualifications:
o Specific Liquid Cooling expertise (facility, closed loop, rack scale, DLC, immersion)
o 8-12 years in enterprise data center infrastructure, with at least 3-5 years focused on AI and/or HPC environments
o Hands-on experience with at least one major GPU cluster build (NVIDIA preferred) or expansion
o Experience in designing large-scale high speed networks specifically for AI/HPC
o Relevant certifications: DCDC (Data Center Design Consultant), RCDD, NVIDIA DCA, relevant vendor certs
o Experience working with colocation providers, hyperscaler cloud providers (data center focus), AI Neocloud providers or large enterprise private cloud builds
o Experience with digital twin, software simulation, AR/VR (including CMDB / ESM integration) desired

This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' EEO commitment here.