NVIDIA's Compiler team is dedicated to bringing best-in-class compiler technology to NVIDIA's developer community spanning across multiple domains like Deep Learning/ Machine Learning, High Performance Computing, Graphics and Automotive. NVIDIA is looking for a Senior Technical Program Manager to be a key member of our Compiler Development team. A best-in-class professional who will be directly responsible for delivering the newest and most up to date compilers to our developers and the success of various product releases. A strong leader who is an authority in cross functional team coordination, comfortable in a matrixed organization, responsible for driving software development and documenting the process from concept to delivery. As an independent problem solver, you will engage in initiatives relating to process development/ implementation for the Compiler organization. If you want to be part of innovative technology for powerful GPU graphics and compute technologies, delivering new groundbreaking features for compute programs which include CUDA, Machine Learning, Deep Learning and Artificial Intelligence; we have an outstanding opportunity for you!
What you'll be doing:
Hands on driving software 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 expectations.
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.
What we need to see:
Bachelor of Science or equivalent experience in Electronic Engineering, Computer Science or related technical degree.
8+ years in a similar or related role.
Passionate about details and an authority at multitasking.
Validated Software Engineering background and technical skills.
Ability to investigate technical issues. Attention to detail.
Knowledge of operating systems, software development standard methodologies, and compilers are highly valued.
Strong written and verbal presentation skills
Creative problem solver, able to resolve technical issues and conflicting priorities.
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:
Craft and implement new processes for workflow between different teams.
GPU, CUDA, Compiler and/or AI knowledge.
Experience with project management tools, like JIRA (Atlassian Project Management & Teamwork Software), MS Project. Implementing tool automation in support of this role is plus.
Creatively resolving technical issues and resource conflicts through consensus and team building to delivering sophisticated products to customers.
Project Management Professional Certification.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor of Science or equivalent in Electronic Engineering, Computer Science, or related technical degree.
- 8+ years in a similar or related role.
- Validated software engineering background and technical skills.
- Knowledge of operating systems, software development methodologies, and compilers.
- Experience leading projects using Agile and Waterfall methodologies.
- Track record of program management skills (risk management, tracking and monitoring, meeting facilitation, time management, problem solving).
- Strong written and verbal presentation skills.
- Ability to investigate technical issues, attention to detail, and strong multitasking capability.
- GPU, CUDA, Compiler and/or AI knowledge.
- Experience with project management tools such as JIRA and MS Project; implementing tool automation is a plus.
- Project Management Professional (PMP) certification.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
