We are seeking a TPM who has deep knowledge of observability, systems telemetry, and cloud infrastructure operations. You will play a key role collaborating with hardware/software supply teams, DGXC operations, and external Cloud Service Providers (CSPs and NCPs). Together, you will develop unified telemetry mentorship and confirm operational readiness worldwide.
What you'll be doing:As a DGX Cloud Principal Technical Program Manager, you will work closely with our Engineering, Infrastructure, and Software teams. You will lead important programs focused on telemetry and data center fleet health & management. Your role will be essential in developing core capabilities for DGX Cloud. You will make sure that operations and advanced tenants receive the telemetry required to troubleshoot, debug, and manage AI infrastructure effectively.
- Establishing a balanced feedback loop between DGX Cloud and other organizations at NVIDIA to align and unify telemetry requirements and mentorship for external partners.
- Driving the end-to-end telemetry lifecycle for upcoming NVIDIA Cloud Providers (NCPs). This includes ensuring requirements are committed, delivered, and ingested into a centralized telemetry platform to enable DGXC operations.
- Participating in the early product lifecycle (Day -1 / Day 0) to examine the Plan of Record (POR) for new silicon, systems, firmware, and software architectures (example: VR). This ensures telemetry requirements for advanced tenants are coordinated.
- Collaborating across technical domains (including NVLink, InfiniBand, SpectrumX, GPU, CPU, and DPU or equivalent experience) to establish standard telemetry operations mentorship across NVIDIA.
- Driving a program for NVIDIA's attestation platform to verify device integrity, authenticity, and trust across the accelerated computing ecosystem.
- Providing leadership and mentorship to the DGXC TPM organization, driving process improvements.
- Actively improving day-to-day efficiency by demonstrating and building AI tools (e.g., incorporating Claude Co-Work, NotebookLM, Glean, and building NemoClaw agents) to automate manual workflows like Jira management.
- Developing and accomplishing a robust communication strategy to ensure cross-functional visibility on overall program progress, including presenting regularly to NVIDIA's executive leadership team.
What we need to see:- 12+ years of technical program management experience, specifically driving the planning and execution of large-scale engineering, cloud infrastructure, and observability programs within a matrixed organization.
- Extensive practical experience in managing cloud infrastructure, ideally acquired from employment at a leading Cloud Service Provider (CSP).
- Proven ability to act as the interface between cross-functional organizations, effectively managing complex feedback loops and resolving misaligned requirements.
- Expert-level proficiency with Jira, Smartsheet, or similar program management tools, with the ability to confidently guide engineering teams on their effective use within an Agile framework.
- Outstanding strategic and tactical thinking abilities, coupled with a strong capacity to build consensus and drive program success across diverse business units.
- Possess excellent communication and technical presentation skills, particularly for executive audiences.
- BS or MS in Electrical Engineering or Computer Science, or equivalent experience.
Ways to stand out from the crowd:- Comprehensive knowledge of NVIDIA architectures and interconnects, encompassing deployment, bring-up, and telemetry requirements for GPUs, NVLink, and InfiniBand.
- Experience with technologies like Open Telemetry (OTel), Grafana, Warpstream, VictoriaMetrics, Loki.
- Familiarity with cloud platform architecture, cloud-native services, and Kubernetes.
- A highly enthusiastic, upbeat, responsive, and passionate individual who actively identifies process improvement opportunities and guides teams through ambiguity.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 18, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
