Senior Memory Post Silicon Qualification Engineer

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Memory Post Silicon Qualification Engineer, you will lead memory qualification for Tegra/GPU products, collaborate with teams across logic design and software engineering, optimize memory IO settings, conduct functional validation and testing, and resolve any issues encountered during validation processes.
Summary Generated by Built In

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention, the GPU, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

Working in NVIDIA's Silicon Solutions Engineering group, you will innovate and drive memory qualification on current and future Tegra/GPU silicon/products.  Cross-team collaboration with teams from logic design, circuit design, architects, PCB, and software engineers to ensure successful product development with aggressive product cycles. This position could potentially grow into a management role.

What you’ll be doing:

  • Bring up a high-speed memory interface on complex chips like GPUs and SoCs.

  • Functional validation, IO tuning, and PVT testing of the memory controller and DRAM have paved the way for successful silicon productization.

  • Optimizing Memory IO settings to support multiple memory configurations involving different types of DRAMs and vendors.

  • Identify any functional issues, perform root-cause analysis, and drive closure of the issues found. Coordinate with design, arch, and board teams, where required.

  • Collaborate with the pre-Si team to understand the new features and create appropriate validation test plans.

What we need to see:

  • B. Tech or M. Tech in Electronics Engineering or equivalent experience

  • 8+ years of experience in the semiconductor industry with a minimum of 2 years in memory interface validation.

  • Strong understanding of the protocol for DRAM types like GDDR/LPDDR

  • Familiarity with HW lab environment and understanding of lab equipment like DMM, Oscilloscope, thermal solutions, etc.

  • Background in understanding PCB stack-up, board layouts, power planes, and SI guidelines.

  • Experience in writing lab automation scripts using C/Python/Perl.

  • A strong standout colleague; self-motivated with great interpersonal skills.

Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state-of-the-art computing platforms for the world to use. Because of our work, scientists, researchers, and engineers can advance their ideas. At its core, our visual computing technology not only enables an amazing computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. It’s not just technology, though! Our people, some of the brightest in the world, and our company's diverse culture make NVIDIA one of the most fun, innovative, and dynamic places to work in the world! At the center of NVIDIA's culture are our core values, like innovation, excellence, determination, and teamwork, that guide us to be the best we can be. 

#LI-Hybrid

    The base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

    You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

    NVIDIA is 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

    C
    Perl
    Python
    The Company
    HQ: Santa Clara, CA
    21,960 Employees
    On-site Workplace
    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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