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Senior Deep Learning Performance Architect

NVIDIA
  • Redmond, California
    30+ days ago

    Job Description

    We are now seeking a Senior Deep Learning Performance Architect! NVIDIA is looking for outstanding Performance Architects with a background in performance analysis, performance modeling, and AI/deep learning to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.

    What you’ll be doing:

    • Develop innovative architectures to extend the state of the art in deep learning performance and efficiency

    • Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites

    • Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications

    • Evaluate PPA (performance, power, area) for hardware features and system level architectural trade-offs. Develop high level simulators in C++/Python

    • Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

    What we need to see:

    • MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience

    • 6+ years of relevant meaningful work experience

    • Strong background in GPU or Deep Learning ASIC architecture for distributed training and/or inference spanning multi-chip/multi-node

    • Experience with performance modeling, architecture simulation, profiling, and analysis

    • Solid foundation in machine learning and deep learning. Understanding of modern transformer-based architectures and their performance at scale.

    • Strong programming skills in Python, C, C++

    Ways to stand out from the crowd:

    • Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX, TensorRT)

    • Familiarity with advanced optimizations and SW/HW co-design in LLM training and inference

    • Exposure to using AI to accelerate SW engineering

    • Demonstration of self-motivation and creative / critical thinking

    Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

    You will also be eligible for equity and benefits.

    Applications for this job will be accepted at least until June 7, 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.

    Numbers & Facts

    LocationRedmond, California
    IndustryComputer Software
    Company Size10,000 employees or more
    Year Founded1993
    Websitehttp://www.nvidia.com

    About Company

    Visualize your future . . . We Do
    NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

    Skills

    • ASIC (Application Specific Integrated Circuit)unmatched
    • Algorithmsunmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • C Programming Languageunmatched
    • C++ Programming Languageunmatched
    • Computer Engineeringunmatched
    • Computer Programmingunmatched
    • Computer Scienceunmatched
    • Cost Analysisunmatched
    • Deep Learningunmatched
    • Electrical Engineeringunmatched
    • GPU (Graphics Processing Unit)unmatched
    • Hardware Architectureunmatched
    • Hardware Designunmatched
    • JAX (Java API for XML)unmatched
    • Machine Learningunmatched
    • Performance Analysisunmatched
    • Performance Modelingunmatched
    • Python Programming/Scripting Languageunmatched
    • Simulationunmatched
    • Software Architectureunmatched
    • System Architectureunmatched
    • Test Suiteunmatched

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