Principal Technical Program Manager, Relational Deep Learning Platform - CA, Santa Clara, United States
$240,000 - $379,500 USD yearly
Originally posted 27 August 2026 by the employer.
About the role
As a Principal Technical Program Manager, you will lead the relational deep learning program from research to production, connecting ML researchers, infrastructure, and platform teams.
What you'll do
- Lead the relational deep learning program from research to production.
- Deliver task-specific models for domains such as fraud detection and recommender systems, from problem definition and data requirements through training, benchmarking, and hand-off.
- Coordinate with infrastructure, systems, and platform groups to align compute capacity, training and serving environments, and platform features.
- Guide release management for both the platform and models, including experiment-to-production hand-offs, versioning, compatibility, and compliance approvals.
- Maintain the operating rhythm for the program, leading planning, reviews, risk and dependency tracking, and decision forums.
- Define and track program health metrics such as model quality, training speed, evaluation coverage, and time-to-release, and share status in executive reviews.
What you'll need
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
- 15+ years of experience in technical program management, engineering, or data/ML delivery, including significant time in ML/AI or large-scale data environments.
- Experience leading complex, multi-stakeholder programs end to end in research and engineering organizations.
- Comfort working with ML researchers, interpreting model and evaluation results, and making decisions about training pipelines, data, and infrastructure trade-offs.
- Ability to build operating rhythms from scratch, influence without formal authority, and communicate clearly with highly technical teams and senior executives.
- Familiarity with modern program-management practices (e.g., Agile, roadmapping, risk and dependency management) and judgment to use them effectively in research settings.
- A hands-on, builder mindset that includes creating automation and tooling, using AI in daily work, and applying AI to streamline program operations, status reporting, risk detection, and release workflows.
Skills: Technical Program Manager, Relational Deep Learning Platform, ML/AI, training pipelines, data and infrastructure, GPU and compute capacity
This role has been open 47 days — well below the 69-day median for Technical Program Management roles.
Technical Program Management · AI ML Hardware
|
Open roles in category
65
|
Median days open
69 d
|
Median salary
$245k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (65 roles · 18 employers) |
|---|---|---|
| Open roles in this specialty | 16 | 65 |
| Median days open | 79 d | 69 d (+10 d vs this employer) |
| Median salary (USD postings) | — | $245k |
Skills observed across this category: Technical Program Manager, Relational Deep Learning Platform, ML/AI, training pipelines, data and infrastructure, GPU and compute capacity
Who's hiring in this category
- NVIDIA (this employer) · 16 open roles · median 80 d
- Micron Technology · 10 open roles · median 18 d
- Qualcomm · 8 open roles · median 74 d
- AMD · 7 open roles · median 56 d
- Lam Research · 4 open roles · median 66 d
- Tenstorrent · 4 open roles · median 64 d
How we counted: 65 open Technical Program Management (AI ML Hardware) roles from 18 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.