Salary
💰 $160,000 - $253,000 per year
About the role
- Lead NVIDIA's AI Platform Solution integration with external OEM/ODM System Partners from early design phases through production
- Collaborate with teams across the company to plan and drive Hardware/Software multi-functional teams
- Assemble requirements, help prioritization, scheduling, and planning for all phases of the product life cycle
- Develop and handle breakthroughs and schedules for the many moving parts that need to come together
- Lead and improve product development and software release processes and collaborate on improving development workflow and engineering efficiency
- Translate customer requirements into specific tasks and assign to relevant functional areas
- Collect, prioritize, track, and drive customer-reported issues to resolution and communicate status to customers and senior executives
- Work closely with engineering, operations, quality, product management, and sales to resolve technical and logistical issues
- Coordinate and lead complex technical engineering-to-engineering (hardware and software) discussions and escalate urgent issues
- Regularly communicate executive level program report status and key issues to management
- Develop a close working relationship with customer development teams and use creativity to find solutions
Requirements
- BS/MS Engineering or Computer Science or equivalent experience
- 8+ years in High-Tech industry with a focus on Technical Program Management, supporting OEMs/ODMs System Partners
- Proven deep customer savvy born of performing complex programs, especially with strategic customers with large datacenter deployments
- Strong System Integration Level technical experience, including server hardware/software development, network topologies, network interfaces and datacenter qualification/deployment
- Supreme leadership skills across broad and diverse functional teams
- Strong analytical and problem-solving skills to address complex technical challenges
- Good solid understanding of server technologies such as CPUs, GPUs, memory, networking, and storage systems
- Knowledge of Data Center topologies, Network Systems as well as AI ecosystem are a plus