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NVIDIA

Senior Mixed Signal Design Validation Engineer

NVIDIA is hiring a Senior Mixed Signal Design Validation Engineer in Santa Clara, United States. It pays $168k-$265k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

NVIDIA's invention of the GPU in 1999 transformed the gaming industry, revolutionized graphics, and sparked the rise of parallel computing. Today, as the driving force behind AI computing, we are leading the charge in creating the technologies that power self-driving cars, robotics, and advanced AI systems. Join us and be at the forefront of technological innovation and equal opportunity company. We are seeking dedicated and hard-working individuals to join NVIDIA team and push the boundaries of what’s possible.

We are looking for an experienced Mixed Signal Design Validation Engineer with a strong background in LPDDR, GDDR, and HBM memory technologies. As part of our high-speed mixed signal circuits team, you will lead the bring-up and characterization of complex interfaces and modules. You will work on validating high-speed I/O systems, focusing on the performance of advanced memory interfaces like LPDDR, GDDR, and HBM, to ensure the highest standards of quality and reliability. This position offers the opportunity to push the boundary of the next generation of memory technologies powering NVIDIA's pioneering GPUs and AI computing platforms.

What You’ll Be Doing:

  • Lead and drive the creation of validation test plan and test scripts for DDR I/O associated with LPDDR, GDDR, and HBM memory interfaces, ensuring all necessary required analog and digital circuits are covered.

  • Conduct thorough characterization of analog, digital, and mixed-signal circuit blocks under varying conditions (process, voltage, temperature) and correlate results with simulations.

  • Drive system-level validation for memory interfaces, ensuring high-speed performance and quality metrics meet the demanding standards required by our GPU and AI systems.

  • Investigation validating Memory I/O circuit to understand circuit weakness paving ways circuit improvement, architecture enhancement in future products.

  • Lead debugging efforts and design creative solutions to resolve unexpected bugs.

  • Validate silicon performance, quality, and margins for refinement of memory interface designs.

  • Develop and implement test scripts to optimize DDR I/O circuit, sub-circuits and overall system performance

  • Work closely with multi-functional teams, including Mixed signal design, PISI team, hardware, firmware, and Memory qualification engineer, to resolve issues and improve the performance for memory interfaces.

  • Develop and implement tools and scripts to enhance electrical characterization and chip bring-up processes.

  • Mentor and train new engineers on validation practices, encouraging a culture of excellence and continuous improvement.

What We Need to See:

  • A BS degree or equivalent experience with 8 years experience or higher in Electrical Engineering, Computer Engineering, or a related field.

  • Solid experience in silicon bring-up and debugging, particularly for high-speed memory interfaces

  • Strong understanding of Memory system and specifications.

  • In-depth technical knowledge of mixed-signal circuits, analog, and digital systems, with a specific focus on high-speed memory technologies.

  • Strong knowledge of signal integrity and power integrity.

  • Experience with lab instrumentation, such as oscilloscopes, logic analyzers, spectrum analyzer, TDR, phase noise analyzer, signal generators and BER tester.

  • Strong scripting skills in Python, C, or similar languages, with experience in Git and JMP for version control and data analysis.

  • Ability to work in a fast-paced, dynamic environment that involves multiple-chip bring-ups and system validations.

  • Tight-knit collaboration are required to work effectively with multi-functional teams.

  • Strong problem-solving skills, with a proactive and forward-thinking approach.

Ways to Stand Out from the Crowd:

  • Need strong expertise in measurement theory and the use of test instruments, especially in the context of memory interface validation. Knowledge of other high-speed transceiver performance is a must.

NVIDIA is renowned as the leader in AI computing and one of the world’s most innovative and desirable employers. MSDV team consists of individuals who demonstrate outstanding creativity and critical thinking skills, driving innovation forward. If you're passionate, creative, and eager to work on the cutting edge of technology, this is the perfect team for you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
168,000 USD – 264,500 USD for Level 4; and 196,000 USD – 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

How we rate this

Senior Mixed Signal Design Validation Engineer at NVIDIA rates 14 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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