Deep Learning Performance Architect

Reposted 17 Days Ago
Be an Early Applicant
Shanghai, Shanghai Municipality, Shanghai, CHN
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Analyze and model deep learning workload performance across hardware and software stacks, identify architecture and software bottlenecks, and explore features and system configurations to improve performance and energy efficiency for GPU/accelerator platforms.
Summary Generated by Built In

NVIDIA is developing GPU and system architectures that accelerate deep learning and high-performance computing applications. We are looking for an expert deep learning performance architect to join our deep learning modelling, performance projections, analysis and optimization effort. In this position, you will have the chance to analyze deep learning performance on different hardware and software architecture and make a significant impact in a dynamic technology focused company

What you’ll be doing:

  • Analyze performance of various deep learning workloads on different architectures

  • Identify architecture and software performance bottlenecks

  • Explore new features and system configurations to achieve better performance and energy efficiency

What we need to see:

  • BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,)

  • 3+ years of working experience in relevant directions (e.g., hardware system, datacenter hardware, LLM workloads on data center) will be a plus

  • Be familiar with GPU or accelerator-based deep learning platform and software stack

  • A strong background in computer architecture

  • Experience on system architecture design and performance optimization

  • Familiar with machine learning and deep learning frameworks

    Skills Required

    • BSc, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, or related discipline
    • 3+ years experience in relevant areas (hardware systems, datacenter hardware, LLM workloads)
    • Familiarity with GPU or accelerator-based deep learning platforms and software stacks
    • Strong background in computer architecture
    • Experience in system architecture design and performance optimization
    • Familiarity with machine learning and deep learning frameworks

    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

    Am I A Good Fit?
    beta
    Get Personalized Job Insights.
    Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

    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.”

    Similar Jobs

    NVIDIA Logo NVIDIA

    Architect

    Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
    In-Office
    2 Locations
    21960 Employees

    NVIDIA Logo NVIDIA

    Architect

    Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
    In-Office
    2 Locations
    21960 Employees

    NVIDIA Logo NVIDIA

    Architect

    Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
    In-Office
    2 Locations
    21960 Employees

    NVIDIA Logo NVIDIA

    Architect

    Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
    In-Office
    2 Locations
    21960 Employees

    Similar Companies Hiring

    LTX Thumbnail
    Robotics • Conversational AI • Generative AI
    Jerusalem, Israel
    200 Employees
    Onshore Thumbnail
    Artificial Intelligence • Fintech • Software • Financial Services
    New York, New York
    60 Employees
    Revel.io Thumbnail
    Aerospace • Hardware • Robotics • Software
    US
    50 Employees

    Sign up now Access later

    Create Free Account

    Please log in or sign up to report this job.

    Create Free Account