Provide ongoing post-deployment sustaining support, serving as case manager for high-priority concerns
Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.
Define the strategy and execution plans for successfully integrating complex AI model tech stacks in customer environments, from evaluation/proof-of-concept to design, development, qualification, and validation to production launch
What We Need to See
Bachelor’s or master’s degree in computer science, Engineering, or a related field, or equivalent experience.
12+ years of program/project management experience in Cloud providers, Automotive, Robotics or Physical AI industries
Strong technical background in hardware and/or software product development with experience working closely with cloud and AI solution providers
Experience driving AI Systems Orchestration. Aligning engineering teams to scale large generative architectures while managing massive compute resources, infrastructure bottlenecks, and model release timelines
Consistent track record of leading complex, global programs through full development lifecycles into deployment and production
Excellent program management, communication, and organizational skills with the ability to prioritize issues and drive cross-functional alignment.
Consistent track record to coordinate with global teams and navigate multi-cultural, multinational business environments.
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences, from engineers to executives.
Willingness to travel as required (up to 10%), and thrive in fast-paced, dynamic environments
Ways to Stand Out from the Crowd
Experience working with Synthetic data generation pipelines and/or World Foundation Models
Experience managing data Lifecycle Management: Overseeing large-scale data curation pipelines, defining automated quality metrics for training data, and mitigating legal, privacy, and bias risks
Strong leadership in matrixed collaboration, conflict resolution, and consensus-building.
Strong background thriving in dynamic, high-growth environments, with proven adaptability to obscurity, rapid change, and matrixed team structures.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.
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 August 3, 2026.
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.
