Role at a glance
- Salary
- Not Disclosed
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 12+ years in semiconductor product engineering, manufacturing, process engineering, or operations
- Education
- BS, MS, or PhD or equivalent experience in Electrical Engineering, Computer Engineering, Materials Science, Physics, or a related field
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Qualifications
Requires deep semiconductor lifecycle knowledge, experience leading complex technical issues and cross-functional resolution, strong executive communication, and direct experience with networking, datacenter, AI, ASIC, or high-performance semiconductor products. Also requires understanding of yield management, test operations, manufacturing flows, and NPI-to-MP transitions, plus technical liaison experience between engineering and operations.
Required
- 12+ years in semiconductor product engineering, manufacturing, process engineering, or operations
- Deep understanding of the semiconductor lifecycle from silicon development through volume manufacturing
- Experience leading complex technical issues and driving multi-functional resolution
- Strong executive communication and presentation skills
- Direct experience with networking, datacenter, AI, ASIC, or high-performance semiconductor products
- Strong understanding of yield management, test operations, manufacturing flows, and NPI-to-MP transitions
- Experience as a technical liaison between engineering and operations, with technical depth to challenge assumptions and operational...
- Track record of improving operational visibility, accelerating issue identification, reducing late-stage partner concerns, and building...
About the role
Original posting provided by NVIDIA
NVIDIA Networking Product Engineering (NPE) is seeking a highly experienced technical leader to serve as the primary US-based interface between Product Engineering and Operations. This role will strengthen visibility, alignment, and responsiveness as networking products progress from development into high-volume manufacturing. The successful candidate will establish trusted relationships across Engineering, Operations, Planning, Manufacturing, Supply Chain, and Executive Leadership while ensuring critical information moves quickly and accurately in both directions. The individual will act as the first line of engagement during product issues, proactively communicate product health and readiness, and ensure operations collaborators have real-time awareness of engineering status, risks, and mitigation plans.
What you’ll be doing:
Provide ongoing awareness of product health, manufacturing readiness, yield performance, risk assessments, and execution status across networking products
Translate deep technical engineering information into actionable operational insights for Operations, Planning, and Supply Chain collaborators
-Serve as the primary liaison between NPE engineering teams in Israel and Operations teams in the US, creating strong operating mechanisms that keep both sides aligned
Ensure operational concerns are surfaced early and addressed before they raise
Function as the first responder for product-related operational crises — coordinating rapid engagement of the right engineering experts and driving structured communication throughout
Support product transitions from development into manufacturing and mass production, providing awareness of yield trends, readiness landmarks, and process updates
Assess operational impacts resulting from technical decisions and changes -
Participate in operational reviews, readiness forums, partner concern calls, planning meetings, and war rooms
Drive transparency, accountability, and proactive communication across global teams and time zones
What We Need to See:
BS, MS, or PhD or equivalent experience in Electrical Engineering, Computer Engineering, Materials Science, Physics, or a related field
12+ years in semiconductor product engineering, manufacturing, process engineering, or operations -Deep understanding of the semiconductor lifecycle from silicon development through volume manufacturing
Experience leading complex technical issues and driving multi-functional resolution
Strong executive communication and presentation skills
Direct experience with networking, datacenter, AI, ASIC, or high-performance semiconductor products
Strong understanding of yield management, test operations, manufacturing flows, and NPI-to-MP transitions
Experience as a technical liaison between engineering and operations — technically deep enough to challenge assumptions, operationally savvy enough to understand manufacturing and planning impacts
Track record of improving operational visibility, accelerating issue identification, reducing late-stage partner concerns, and building scalable operating models
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.