NVIDIA Project Delivery Lead
Job in
Las Vegas, Clark County, Nevada, 89105, USA
Listed on 2026-02-16
Listing for:
SyllogisTeks
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Systems Engineer, IT Project Manager, Cloud Computing, AI Engineer
Job Description & How to Apply Below
Overview
We are seeking an experienced NVIDIA Delivery Lead to drive end-to-end deployment of NVIDIA-based AI and HPC infrastructure solutions. This role sits at the intersection of technical execution, program ownership, and delivery leadership
.
You will own the successful delivery of NVIDIA deployments from kickoff through production, coordinating cross-functional teams while maintaining enough hands-on technical depth to challenge engineers and guide architectural decisions.
This is not a research or pure engineering role
. The long-term focus is on delivery, execution, and accountability
, with limited hands-on technical work as the role matures.
- Own end-to-end delivery of NVIDIA infrastructure deployments, from planning through completion
- Act as the technical delivery lead / program owner for complex AI and HPC initiatives
- Drive project execution, timelines, milestones, and go-live readiness
- Coordinate cross-functional delivery teams, including infrastructure, platform, and AI engineers
- Serve as the primary point of accountability for deployment success
- Provide hands-on technical support (approximately 10–20% initially) to unblock teams and validate decisions
- Challenge engineers constructively and help guide technical trade-offs across the AI stack
- Ensure deployments reach production successfully and on schedule
- Partner with leadership to ensure strong customer, team, and culture alignment
- Proven experience leading real-world NVIDIA deployments (not just theoretical or sales-adjacent)
- Strong understanding of NVIDIA platforms and accelerated computing environments (e.g., DGX, HGX, GPU clusters)
- Broad technical acumen across the full AI infrastructure stack
, from front-end orchestration to back-end systems - Experience owning delivery for complex infrastructure or AI programs
- Ability to balance technical depth with delivery leadership and execution ownership
- Comfortable working with highly technical engineering teams and challenging assumptions when needed
- NVIDIA certifications (nice to have, not required)
- Experience with HPC, AI infrastructure, or large-scale GPU environments
- Background in consulting, transformation, or enterprise infrastructure delivery
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