Technical Project Lead, SPE

Reposted 19 Days Ago
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Yokneam
In-Office
10-10
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead projects in NVIDIA's Product Engineering group, focusing on integrating and managing technical tasks across multiple teams to mitigate quality issues and improve production processes using advanced data analysis techniques.
Summary Generated by Built In

NVIDIA’s Product Engineering group is looking for an experienced Electronics/System engineer to serve as a Technical Project Leader (TPL), join our organization, and be a part of the System Product Engineering organization. The team delivers brand new, high-quality products to NVIDIA's customers, applying the following: Development and deployment of automatic testers for NVIDIA’s network business units (Computing network adapters and High-speed switch systems) including hardware, software, and mechanics; Coordinating and leading all aspects of the analysis of manufacturing data to identify and mitigate quality issues using advanced data analysis techniques such as machine learning, statistical tools, and AI; Leading smooth production and capacity enlargement and failure analysis of return material from customers to understand the reason for failures ;Validating test performance and stability using QA (V&V – validation and verification) methods; The TPL leads projects from requirement until end of life; Engineering manager for SPE projects and technical authority across SPE teams

What you’ll be doing:

  • Building integration plans, communicating status and priority among the teams (in/outside of SPE), assessing risks and developing mitigation plans

  • Leading the project lifecycle in the SPE group, which starts at the requirements stage, through chip design and FW stages till SPE MP, including quality and yields improvement plans

  • Responsible for bugs management prioritization and tracking and relevant knowledge transfer to the SPE group

  • Working closely with development teams for environment improvements, such as automation, and driving mitigations to reduce risks

  • Collaborating with PM for schedule tracking and modifications

  • Evaluating new technologies and testing capabilities for improvement

  • Working with the testing architecture team (DFT) to assure testing setups and coverage are met

  • Engaging with a variety of teams: R&D, HW and SW, Chip design, Operations, thermal, signal integrity, FW and SW, layout, and more, Report project status for high level management 

What we need to see:

  • BSc, MSc Electrical/System Engineering

  • Proven experience of 10+ years

  • Hands on, Integration capabilities of self-task management, vast electronic knowledge, production, and testing process know-how

  • Background in working with contract manufacturers and suppliers

  • Supervising and tracking the progress of multi-functional and personal tasks

  • Personal skills: proactive and self-instruction, good interpersonal relationship, multitasking, well organized, and a quick learner

You will play a crucial role in shaping the future of NVIDIA's products. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you. Join us in pushing the boundaries of technology. We are committed to fostering a diverse and inclusive work environment.

NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are committed to fostering a diverse 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.

Top Skills

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Machine Learning
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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