AI Engineering Manager - Generative AI Platform & Applications
Are you an experienced AI engineer looking to lead a dynamic team in a cutting-edge technology company? Do you have a passion for developing and delivering innovative AI solutions? Look no further, as NVIDIA is seeking an AI Engineering Manager to join our team and drive our Generative AI Platform and Applications. As the leader of this team, you will have the opportunity to work with top-tier talent, collaborate with cross-functional teams, and contribute to groundbreaking AI projects. We are looking for a driven individual with a strong technical background, excellent leadership skills, and a proven track record of delivering successful AI projects. If you are ready to make a significant impact in the AI industry, we want to hear from you.
- Develop and implement strategies for the Generative AI Platform and Applications team to achieve company goals and objectives
- Lead and manage a team of AI engineers to ensure efficient and effective project execution
- Identify and recruit top-tier talent to grow and strengthen the team
- Collaborate with cross-functional teams to ensure alignment and integration of AI solutions across the organization
- Provide technical expertise and guidance to the team, leveraging your strong technical background in AI
- Drive innovation and continuous improvement by staying up-to-date with the latest AI technologies and industry trends
- Develop and maintain project plans, timelines, and budgets to ensure successful delivery of AI projects
- Monitor and track team performance, providing feedback and coaching to drive individual and team growth
- Foster a positive and inclusive work environment, promoting teamwork and collaboration
- Serve as a representative for NVIDIA in the AI industry, promoting the company's brand and reputation through speaking engagements, conferences, and publications.
Expertise In Ai And Machine Learning: The Ai Engineering Manager Should Possess A Deep Understanding And Hands-On Experience In Artificial Intelligence And Machine Learning Technologies, Including Deep Learning, Natural Language Processing, And Computer Vision.
Strong Managerial Skills: The Ideal Candidate Should Have Prior Experience In Managing A Team Of Ai Engineers And Researchers. They Should Have The Ability To Lead And Mentor A Team Towards Successful Project Completion.
Proficiency In Generative Ai Platform And Applications: The Ai Engineering Manager Should Have A Strong Background In Generative Ai, Including Experience With Nvidia's Platforms And Applications Such As Gans, Generative Models, And Reinforcement Learning.
Technical Expertise In Software Development: The Candidate Should Have A Strong Background In Software Development, Including Proficiency In Programming Languages And Frameworks Such As Python, C++, And Tensorflow.
Excellent Communication And Problem-Solving Skills: As A Manager, The Candidate Should Have Excellent Communication Skills, Both Written And Verbal, To Effectively Collaborate With Cross-Functional Teams. They Should Also Possess Strong Problem-Solving Abilities To Overcome Any Technical Challenges That May Arise.
Software Development
Project Management
Data Analysis
Machine Learning
Deep Learning
Computer Vision
Cloud Computing
Artificial Intelligence
Natural language processing
Team Leadership
Neural Networks
Problem
Communication
Conflict Resolution
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a AI Engineering Manager - Generative AI Platform & Applications in Santa Clara, CA, USA is $175,000 - $225,000 per year. This may vary depending on the specific company, level of experience, and other factors.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.
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