We are seeking an experienced, forward-thinking, focused, analytical, and motivated Engineer to take ownership for the PCB NPI with the aim of achieving company targets.
As an NVIDIAN, you'll be part of a diverse and encouraging environment where everyone is encouraged to do their best work.
What you'll be doing:
Lead the PCB qualification for Networking products (2nd source).
Collaborate with engineering teams to identify suitable PCB suppliers (tech capability and capacity) and define the qualification plan.
Coordinate and lead the changes in the ECR/CCB process.
Work with the PCB sourcing team for sample assembly and qualification.
Track activities, lead timelines, and ensure qualification completion, Support transition from qualification to mass production.
Lead risk plans for material needs before PCB qualification is completed.
Identify critical-paths, bottlenecks and implement risk management methodologies.
Develop and implement project management methodologies and processes to improve tracking, clarity, execution, and day-to-day efficiency.
What we need to see:
B.Sc. in Industrial engineering, Material or Chemical engineering or a related field, or equivalent experience.
Strong engineering background with business and operations proficiency.
5+ years of proven experience in leading sophisticated, highly technology-intensive projects (PCB – advantage).
Strong critical thinking, attention to detail, and strong decision-making skills.
Independent and proactive approach – being able to own a task but also to deep dive into the relevant details surrounding it.
Performs well in an intensive environment - Working hour flexibility (working with global parties).
Ability to manage schedule and meet deadlines.
Multitasking, good interpersonal skills and a great teammate.
Proficient in English – reading, writing, and speaking.
Microsoft Office tools - Excellent skills in Word, Excel, and PowerPoint tools.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
