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Senior Accelerated Computing Architect

NVIDIA Corp

  • Santa Clara, CA
  • 30+ days ago
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    Skills

    • Algorithmsunmatched
    • Analysis Skillsunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • C Programming Languageunmatched
    • C++ Programming Languageunmatched
    • CPU (Central Processing Unit)unmatched
    • CUDA (Compute Unified Device Architecture)unmatched
    • Communication Skillsunmatched
    • Computer Architectureunmatched
    • Computer Engineeringunmatched
    • Computer Scienceunmatched
    • Data Structuresunmatched
    • Divingunmatched
    • Electrical Engineeringunmatched
    • Establish Prioritiesunmatched
    • GPU (Graphics Processing Unit)unmatched
    • Hardware Architectureunmatched
    • Hardware Designunmatched
    • Hardware Design and Simulation Softwareunmatched
    • InterProcess Communication (IPC)unmatched
    • Linear Algebraunmatched
    • MPIunmatched
    • Machine Learningunmatched
    • Mathematicsunmatched
    • Network Operations Centerunmatched
    • OpenCLunmatched
    • Organizational Skillsunmatched
    • Parallel Programmingunmatched
    • Performance Tuning/Optimizationunmatched
    • Problem Solving Skillsunmatched
    • Programming Methodologiesunmatched
    • Python Programming/Scripting Languageunmatched
    • Software Architectureunmatched
    • Software Designunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • System Architectureunmatched
    • Time Managementunmatched
    • Unix Operating Systemsunmatched

    Description

    We are now looking for a Senior Accelerated Computing Architect!

    NVIDIA is developing software and system architectures for accelerated high performance computing, scientific computing, machine learning, AI, datacenter, and automotive computing. This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company.

    What you'll be doing:

    • Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.

    • Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs.

    • Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.

    • Actively collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.

    • Diving into accelerated computing applications to facilitate software-hardware co-design.

    • Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.

    What we need to see:

    • An MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience

    • 6+ years of relevant work experience

    • Strong mathematical fundamentals, including linear algebra and numerical methods.

    • A passion for performance optimization.

    • Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL. Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus.

    • Strong knowledge of C and C++ with solid understanding of software design, programming techniques, and algorithms. Familiarity with threading APIs for multicore CPUs and Unix-style Inter-process Communication (IPC) APIs is a plus.

    • Familiarity with Python is a plus.

    • Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

    • Experience benchmarking, profiling characterizing workloads on GPU and CPU clusters.

    NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of pushing an architecture to its limits? If so, we want to hear from you.

    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 May 11, 2026.

    This posting is for an existing vacancy.

    NVIDIA uses AI tools in its recruiting processes.

    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.

    Numbers & Facts

    LocationSanta Clara, CA
    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.

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