NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by phenomenal technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing! An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work! Come join the team and see how you can make a lasting impact on the world.NVIDIA's Large Language Model program (LLMs) represent a major advancement in AI, with the promise of redefining domains through learned knowledge. LLM is revolutionizing the world. We are looking for a passionate TPM to be part of this journey. The team contributes to all steps of the machine learning lifecycle: from concept to model training, engineering for optimized inference, and deployment.What You’ll Be Doing:Integral member of Large Language Model deployment and productization workflowWork with third party vendorsPartner with research and engineering team to build best in class evaluation toolsPartner with engineering and product management to deliver and implement roadmapCollaborate with engineering on sprint planning, stand-ups and sprint review and retrospective meetingsWork with engineering and product team on backlogUse Jira dashboard to help with various reporting and confluence to provide program updates to the core and leadership teamWork closely with the engineering team on various KPIs to improve overall execution process and deliverablesWhat we need to see:Bachelors or Masters in Electrical Engineering or Computer Science or equivalent experience6+ years of program management experience in a similar or related roleExcellent verbal, written, interpersonal, and presentation skillsProficient in Agile project management methodologiesExperience with Jira to the point that you can comfortably guide an engineering team on how to use these tools and implement in an agile/scrum mannerProven track record of being well organized, excellent listening skills, and being detail-oriented; in an environment with shifting priorities and changing requirementsExperience in leading technical products from inception to large scale user adoption and ability to think long-term and build consensus to make programs successfulExceptional skills in prioritizing and building alignment and Consistent track record of collaboration across teams, customers, and partnersDetailed knowledge of software engineering principlesLeading and successfully delivering medium to large organizational-wide programs and projectsWays to stand out from the crowd:Deep understanding of software engineering principlesUnderstanding of the ML-Ops workflow and Strong understanding of Machine Learning and AI principlePrior Program Management experience with Conversational AI or Large Language ModelsHands-on experience with Agile tools and processesProject Management Professional (PMP) certification and/or MBA is a plusPassion for delivering software, libraries and SDKsNVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most hardworking and innovative people on the planet working here. Are you creative and autonomous? If the answer is yes, we want to hear from you!The base salary range is $152,000 - $235,750. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits.NVIDIA is committed to fostering a diverse 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.
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