Technical Program Manager, EDA Compute Infrastructure
About The Position
NVIDIA's Hardware Infrastructure team is seeking a Senior Technical Program Manager to lead strategy and execution for programs supporting the reliability, scalability, and modernization of infrastructure used by NVIDIA's Hardware ecosystem. This infrastructure supports chip development and tapeout and must be reliable, performant, and efficient for internal users. The role partners with senior management to plan future programs and works with internal customers and cloud service provider (CSP) and software tooling partners to align teams and deliver results. It also develops and standardizes planning, reporting, and execution methodologies and metrics to meet challenging objectives in a fast-paced environment.
Requirements
- Bachelor's degree or equivalent experience.
- 12+ years of program management experience, including demonstrated ability to manage global projects and adapt to multiple time zones.
- Demonstrated skill engaging with and moderating successful engagements involving engineering partners and vendors.
- Exceptional communication and presentation skills for diverse technical and non-technical audiences.
- In-depth understanding of software engineering principles and quality requirements in enterprise systems.
- Strong multitasking abilities, thoroughness, and rapid context switching.
- Knowledge of agile methodologies and tools, project planning, and task-tracking tools.
- Proactive and enthusiastic approach to identifying and implementing positive changes in software engineering and release management in a fast-paced environment.
Nice To Haves
- Background in computer science, machine learning, deep learning, open-source software, infrastructure technologies, or GPU technology.
- Prior experience in infrastructure software, production application software development, software development, release and support methodology, or DevOps.
- Prior experience managing customer workflows using large-scale distributed computing and working with AI researchers or directly training AI models.
- Consistent track record of driving process improvements and measuring efficiency.
- Passion for sharing knowledge and experience driving complex projects end-to-end.
Responsibilities
- Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives.
- Guide engineering programs through planning, forecasting, documentation, scheduling, meetings, prioritization, dependency management, reporting, and handling critical or blocking issues.
- Guide engineering teams in the use of agile methodologies.
- Develop and implement metrics to measure program effectiveness and identify areas for improvement; collect and analyze data to support planning and data-driven decisions.
- Report overall program status and provide insights and recommendations to senior management.
- Drive organizational alignment and efficiency by coordinating with multifunctional leads and streamlining processes.
- Guide teams designing for advanced, complex, competing, and conflicting customer requirements.
- Moderate technical discussions to successful conclusions.
- Act as a liaison between developers and customers, and between technical and non-technical audiences.
- Identify opportunities for process enhancements and foster continuous improvement.
Benefits
- Equity
- Benefits
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
