Principal Technical Program Manager, Relational Deep Learning Platform

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 240,000 - 379,500 annuallyFunction: Program & Project Management (PMO)Experience: 15+ yearsEducation: bachelorsSkills: ["Collaboration","Cross-team communication","Influence without authority","Risk and dependency management","Hands-on builder mindset"]

Lead the relational deep learning program from research to production, aligning ML researchers, infrastructure, and platform teams. Own end-to-end delivery of domain models (fraud detection, recommender systems) including problem definition, data requirements, training, benchmarking, and handoff. Coordinate compute capacity and training/serving environments, guide experiment-to-production release management, and drive program health metrics through executive decision forums.

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FursaFursa
NVIDIA
NVIDIA
5 hours ago

Principal Technical Program Manager, Relational Deep Learning Platform

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Last checked: 5 hours agoStatus: Live

Job Summary

Lead the relational deep learning program from research to production, aligning ML researchers, infrastructure, and platform teams. Own end-to-end delivery of domain models (fraud detection, recommender systems) including problem definition, data requirements, training, benchmarking, and handoff. Coordinate compute capacity and training/serving environments, guide experiment-to-production release management, and drive program health metrics through executive decision forums.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Program & Project Management (PMO)
Seniority: Mid level

Key Responsibilities

  • •Lead the relational deep learning program from research to production, connecting ML researchers, infrastructure, and platform teams.
  • •Deliver task-specific models (e.g., fraud detection and recommender systems) from problem definition and data requirements through training, benchmarking, and handoff.
  • •Coordinate across infrastructure, systems, and platform groups to align compute capacity, training/serving environments, and dependent platform features.
  • •Guide release management for the platform and models, including experiment-to-production handoffs, versioning, compatibility, model cards, benchmarks, and safety/compliance approvals.
  • •Maintain program operating rhythm: lead planning and reviews, track risks/dependencies, define program health metrics, and report status to executive forums.

Pay and Benefits

Salary: USD 240,000 - 379,500 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kEquityPaid LeaveParental LeaveLearning Budget

Key Requirements

  • •Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
  • •15+ years of experience in technical program management, engineering, or data/ML delivery with significant time in ML/AI or large-scale data environments.
  • •Lead complex, multi-stakeholder programs end to end in research and engineering organizations with evolving requirements and clear delivery timelines.
  • •Comfort interpreting model and evaluation results and making decisions about training pipelines, data, and infrastructure trade-offs.
  • •Build operating rhythms from scratch; influence without formal authority; communicate clearly with technical teams and senior executives.
Experience:15+ yearsML/AIData/ML deliveryGraph machine learningEnterprise data
Education:Bachelor's in Computer Science, Engineering, or related technical field
Skills:CollaborationCross-team communicationInfluence without authorityRisk and dependency managementHands-on builder mindset
Tech Stack:GNNsCuGraphGPUAgile

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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