Manager, Product Development Engineering - HBM

Posted Yesterday
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Santa Clara, CA, USA
In-Office
200K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead NVIDIA’s HBM Product Development Engineering team through bringup, characterization, NPI, manufacturing ramp, and high-volume production. Manage engineers, collaborate with ASIC, test, reliability, manufacturing, and HBM suppliers, and resolve yield excursions, quality issues, and reliability escapes. Establish data analysis, automation, and statistical monitoring frameworks; drive supplier feedback, test audits, qualification readiness, and manufacturing scale-up. Present HBM readiness and risk assessments to leadership.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is seeking an experienced and highly motivated Manager to lead the HBM Product Development team within our Ops organization. In this leadership role, you will guide a team responsible for bringing next-generation HBMs from NPI through manufacturing ramp and high-volume production. You will collaborate across ASIC, system-level product development, test development, reliability, and manufacturing teams to drive HBM yield improvement. The ideal candidate combines strong technical depth in HBM with proven leadership in product development and high-volume semiconductor manufacturing.

What You'll Be Doing:

  • Lead and mentor a team of product development engineers responsible for HBM bringup, characterization, and production ramp.

  • Partner closely with HBM vendors and NVIDIA teams across multiple functions (ASIC, System Product Engineering, Test Engineering, Reliability) to root-cause manufacturing failures and shift-left failures back to suppliers manufacturing.

  • Own root-cause analysis and resolution for yield excursions, fallout, and reliability escapes; ensure seamless NPI-to-production transitions.

  • Lead yield improvement initiatives with a goal of reducing HBM manufacturing fallout to zero across NVIDIA's supply chain.

  • Deliver structured quality feedback to HBM suppliers and lead test audits to continuously improve outgoing product quality.

  • Establish scalable data analysis frameworks, automation tooling, and statistical methodologies for validation and production monitoring.

  • Collaborate with operations teams on product qualification, ramp readiness, and high-volume manufacturing scale-up.

  • Present HBM readiness status and risk assessments to NVIDIA leadership.

What We Need to See:

  • MS or BS in Electrical Engineering or equivalent experience.

  • 8+ overall years of experience in memory product development or engineering.

  • 3+ years of technical leadership and people management experience.

  • Strong circuit-level understanding of HBM architecture and solid command of key AC/DC datasheet parameters.

  • Hands-on experience with product characterization on the Verigy 93K ATE platform.

  • Proficiency in Python, C, or C++ with demonstrated experience in statistical data modeling using JMP or equivalent tools.

  • Experience building automation and scripting infrastructure for validation, data analysis, and test workflows.

  • Proven track record to drive problem solving in a multi-functional environment under aggressive schedules.

  • Strong leadership, communication, and organizational skills.

Ways to Stand Out From the Crowd:

  • Direct engineering experience with major HBM suppliers (Hynix, Micron, Samsung).

  • A bias for action — self-directed, resourceful, and comfortable driving ambiguous problems to resolution.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking, resilient, and hardworking people in the world. If you are learner, creative and collaborative, we want to hear from you!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 1, 2026.

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.

Skills Required

  • Bachelor’s or master’s degree in Electrical Engineering or equivalent experience
  • 8+ years of experience in memory product development or engineering
  • 3+ years of technical leadership and people management experience
  • Strong circuit-level understanding of HBM architecture and AC/DC datasheet parameters
  • Hands-on product characterization experience using the Verigy 93K ATE platform
  • Proficiency in Python, C, or C++
  • Experience with statistical data modeling using JMP or equivalent tools
  • Experience building automation and scripting infrastructure for validation, data analysis, and test workflows
  • Ability to drive problem solving in multifunctional environments under aggressive schedules
  • Strong leadership, communication, and organizational skills
  • Direct engineering experience with major HBM suppliers including Hynix, Micron, or Samsung
  • Self-directed, resourceful, action-oriented approach to ambiguous problems

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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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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