Nvidia Senior Technical Program Manager AI Datacenter 

Israel, Tel Aviv District, Tel Aviv-Yafo 

162253097

What you will be doing:

• Execute the program plan you craft by identifying, and assembling the core team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of all blocking issues, and ensuring timely customer acceptance and production deployment.

• Coordinate and lead sophisticated technicalengineering-to-engineeringdiscussions related to system architecture, firmware, device driver, system management, deep learning algorithms, and/or AI workloads.

• Align multifaceted global cross-functional team of software & hardware engineering, manufacturing operations, product quality, supplier procurement and/or account executives to lead product changes to product productions on-track.

• Regularly report the program status to customer and executive management.

• Identify interpersonal learning opportunities for continuous improvements.

• Develop a close working relationship with customer development teams and use creativity to find solutions to their issues

What we need to see:

• B.Sc./M.Sc. or equivalent experience in Engineering or Computer Science

• 8+ years in Information Technology industry with a focus on program management

• Proven customer and technical savvy born of implementing sophisticated programs deploying servers in data-centers

• Supreme leadership skills across broad and diverse cross-functional teams

• Strong analytical and problem-solving skills

• Experience leading global projects

• Travel <5%

Ways to stand out from the crowd:

• Extensive experience in leading programs with external customers on deploying computing servers at large data-centers with high-reaching goals and timelines

• Consistent track record of working cross-functionally with multiple partners distributed across the globe

• Understanding and knowledge of cloud technologies such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure including GPU computing and networking architecture.