The OpportunityAre you a seasoned Enterprise Solution Architect with a deep understanding of Data Center infrastructure and high-performance AI compute stacks? If so, you will thrive in our dynamic IT PMO organization, where you will lead innovative projects at the intersection of cutting-edge technology and operational excellence, contributing to the design and management of our next-generation GPU Farm and AI Factory environments.
Your Role- Lead the architectural design of the GPU-as-a-Service platform, ensuring seamless integration for R&D, QA, and Sales teams.
- Develop and implement a centralized Data Center Asset Inventory system for real-time visibility and management of hardware assets.
- Architect and manage Data Center infrastructure to ensure compliance with SOC 2 and ISO 27001 standards while optimizing performance.
- Drive the creation of a comprehensive Hardware Lifecycle Management strategy, including procurement, operationalization, and decommissioning.
- Collaborate with cross-functional teams to provide architectural guidance and oversight during project intake and execution.
- Lead initiatives to address supply chain challenges, ensuring project timelines are met despite hardware limitations.
- Conduct regular reviews and enhancements of security standards for Data Center hardware provisioning and network segmentation.
- Establish and track key performance indicators to measure the success and efficiency of Data Center operations in the first year.
What You Will Bring- Bachelor's degree in Information Technology, Business, or a related field.
- 5+ years of experience in Data Center projects within an enterprise environment.
- Deep knowledge of Cisco, Dell, HPE, Supermicro hardware, and NVIDIA GPU architectures (H100, B200).
- Extensive expertise in Data Center infrastructure and asset lifecycle management.
- Proficiency with asset management and automation tools (Netbox, ServiceNow, Terraform, OpenTofu).
- Experience in Kubernetes (NKP preferred) and NVIDIA AI Enterprise stacks (GPU Operator, DCGM, Triton).
- Strong background in MLOps and capacity planning for complex data center environments.
- Ability to enforce compliance with security standards and manage hardware provisioning effectively.
Work ArrangementHybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.
The pay range for this position at commencement of employment is expected to be between USD $156,000 and USD $310,800 per year.
However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.
