Tensordyne-posted 3 months ago
Full-time • Senior
Sunnyvale, CA

In this hands-on, technology leadership role, you will be responsible for multi-disciplinary end-to-end system development for our cutting-edge, multimodal generative AI inference products. You will contribute the creation of new hardware, firmware, middleware and software solutions for Tensordyne’s multimodal GenAI products, as well as for its interfaces to partner’s high performance data center frameworks. This is a hands-on role that’s ideal for HPC experts who have a multi-disciplinary engineering background, along with a keen interest in generative AI, and a passion for designing, debugging, optimizing and finding creative system level solutions to complex technical challenges. In this role, you will also frequently advise upon, and maintain system architecture best practices for hardware and software solutions that are built in-house, as well as with strategic technology partners.

  • Lead multi-disciplinary end-to-end system development for multimodal generative AI inference products.
  • Create new hardware, firmware, middleware, and software solutions for Tensordyne’s GenAI products.
  • Interface with partner’s high performance data center frameworks.
  • Design, debug, optimize, and support complex software applications on custom, programmable hardware systems.
  • Advise on and maintain system architecture best practices for in-house and partner-built solutions.
  • 15+ years of hands-on systems engineering experience.
  • Experience designing, debugging, and optimizing complex software applications on custom hardware systems.
  • Expertise in Machine/Deep Learning and Kubernetes.
  • Proficiency in C++ and Python programming.
  • Deep knowledge of Linux OS/driver/real-time software development.
  • Excellent analytical, written, and verbal interpersonal skills.
  • Ability to collaborate within a global engineering team.
  • Experience with high-speed interconnects and high bandwidth memory.
  • Familiarity with cooperative multitasking for distributed computing.
  • Comprehensive benefits package.
  • Competitive compensation.
  • Flexible spending options.
  • Recognition programs.
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