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NVIDIA

Designs the chips and software that power AI

Director System Level Testing - Product Development Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Master’s or Ph.D. in Electrical Engineering, Physics, Computer Engineering, or a related field, or equivalent experience.
  • 15+ years of experience in semiconductor product development, testing, or manufacturing engineering, including significant leadership of large, cross-functional technical teams.
  • 5+ years of Director leadership or management experience leading engineering teams.
  • Strong understanding of CMOS, component characterization, and analog/mixed-signal circuit behavior.
  • Experience with high-speed testing and characterization.
  • Proven experience in yield analysis, product characterization, and silicon debug.
  • Experience using statistical data analysis tools such as JMP for engineering insights and yield improvement.
  • Demonstrated ability to drive cross-functional problem solving under aggressive schedules.
  • Experience developing or productizing SoC, GPU, or automotive products.
  • Deep expertise in system-level testing, voltage-frequency understanding, and manufacturing ramp readiness.
  • Experience with control loops, feedback systems, and high-speed SerDes/analog front-end validation.
  • Deep knowledge of advanced CMOS process technologies, multi-chip modules, and high-speed interfaces.
  • Experience leading product ramps from prototype to high-volume manufacturing.

Responsibilities

  • Lead and mentor a team of product development engineers responsible for validation, characterization, and production ramp of NVIDIA product lines.
  • Drive product development strategy from early silicon validation through qualification and high-volume manufacturing.
  • Develop and implement validation methodologies and test strategies for mixed-signal silicon designs.
  • Partner with Mixed-Signal Design, Test Engineering, Reliability, and Manufacturing teams to ensure a seamless transition from design to production.
  • Oversee product characterization of new integrated circuit designs.
  • Lead root-cause analysis and complex problem resolution related to silicon performance, yield excursions, and product reliability.
  • Drive yield improvement initiatives, test time reduction, and manufacturing efficiency across wafer and module test flows.
  • Provide structured feedback to design teams regarding silicon performance, design margins, and manufacturability improvements.
  • Establish scalable data analysis frameworks, automation tools, and statistical methodologies for validation and production monitoring.
  • Collaborate with operations teams to support product qualification, ramp readiness, and high-volume manufacturing scaling.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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