Senior Technical Program Manager, Engineering
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Important role focused on advancing the efficiency of compute performance engineering.
- Competitive salary: $160,000–$304,750/year
- Opportunity to work in deep learning and performance optimization
- Lead dynamic teams across multiple technical fields
Pros
- Involvement in the cutting-edge field of deep learning efficiency.
- Attractive salary range and eligibility for equity.
- Dynamic working environment with significant collaborative opportunities.
Cons
- Requires prior technical experience in engineering or project management.
- Work may involve demanding schedules across time zones.
- High complexity related to performance analysis.
Who it's for
Senior • Remote / On-site options available
Good fit
- Senior project managers with a strong technical background
- Individuals interested in deep learning technologies
- Leaders in cross-functional team management
Not recommended for
- Entry-level managers without technical experience
- Candidates preferring limited interaction in team settings
- Individuals averse to demanding project environments
Motivation fit
Key skills
About the job
NVIDIA’s Compute Performance Engineering team crafts system and processor architectures to extend the state of the art in deep learning efficiency and performance that are energy efficient. They Prototype key deep learning and data analytics algorithms and applications, Analyze performance of DL Compute workloads from product concept to product release.
What you'll be doing:
Hands on driving CPE programs and processes. Leading multi-functional team members in a matrix organization to deliver projects on time.
Leading projects in both Waterfall and Agile methodologies.
Authoritatively presenting project status to multi-functional teams as well as executive management.
Working independently, take-charge and influence with minimal mentorship
Working with global partners across multiple time zones, geographies, and diverse technical fields to define work you're doing, report on status, and deliver projects to expectation.
Influencing other teams by creating an efficient/accountable development environment through process development and process improvement.
Observing and following defined processes for escalation if the execution of planned work product tasks is not on track.
Thinking strategically and tactically. Someone who can distill sophisticated projects down to manageable tasks and landmarks and optimally disseminate them to the multi-functional teams.
Work with HW architecture teams, Deep Learning SW teams, Compiler and Infrastructure teams to ensure schedule alignment
Enable team collaboration across the company to guide the direction of machine learning, working with software, research and product teams.
What we need to see:
Strong technical background. Previous work experience as a software engineer or hardware design/verification engineer with hands-on experience developing and testing HW/SW products
Resource estimation and planning: Help to estimate and track team resources across multiple parallel projects
Relevant work experience in technical fast paced program, project or product management role. Proven experience with global projects and readiness to work flexibly in multiple time zones
Bachelor of Science or equivalent experience in Electronic Engineering, Computer Science or related technical degree.
6+ years in a similar or related role
Ability to investigate technical issues, attention to detail and strong written and verbal presentation skills with a passion for details and an authority at multitasking.
Knowledge of GPU architecture, software development standard methodologies, and compilers are highly valued.
Track record of understanding and implementing the foundational program management skills; risk management, tracking and monitoring, meeting facilitation, domain expertise, time management, and problem-solving skills.
Ways to stand out from the crowd:
Background with pre-Si and post-Si chip development and verification.
Technical background with machine learning, deep learning, open source software, and/or GPU technology using APIs such as CUDA, Tensorflow or Pytorch. First-hand experience with software engineering and enterprise system architecture at scale.
Experience with project management tools, like JIRA (Atlassian Project Management & Teamwork Software), smartsheets, MS Project. Implementing tool automation in support of this role is plus.
Project Management Professional Certification.
You will also be eligible for equity and benefits.
