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Summer 2024 AI Hardware Accelerator Research Intern

🚀 Summer Internship

Santa Clara

AI generated summary

  • You must hold a Master’s or PhD in Computer Science, Computer Engineering, or Electrical Engineering, with experience in AI algorithms, computer architecture modeling, and strong communication skills.
  • You will develop cutting-edge AI hardware accelerators, optimize PPA, and collaborate with cross-functional teams to drive innovations and advancements in silicon design.

Summer Internship

Software Engineering, EngineeringSanta Clara


  • At our Center in Silicon Valley, we design the silicon processors and hardware accelerators which will bring artificial intelligence (AI) in full to the Software-Defined Vehicles (SDV) of the future.  From enabling autonomous driving systems to designing experiences for future vehicle concepts, our researchers apply advances in silicon technology for pervasive AI in the car.  
  • We are exploring the cutting edge of AI/ML algorithms, AI models, computer architecture, and silicon technology to bring datacenter-class AI capabilities to all our cars. We strive not only to push the boundaries of AI, but also to focus deeply on how to make human and machine elements interact and work together better.


  • In order to qualify for this role, you must:
  • Currently be pursuing a Master’s, or PhD degree in Computer Science, Computer Engineering or Electrical Engineering
  • Be technologically creative, self-motivated to apply your working knowledge and toolset to building something and evaluating it.
  • Exhibit strong organization ability with keen attention to detail.
  • Bonus points if you have:
  • Experience with modeling AI algorithms using C/C++ and Python
  • Experience with computer architecture modeling and simulation with tools like gem5.
  • Experience with high-level hardware blocks modeling with SystemC and High-Level Synthesis (HLS) tools for either FPGA or ASIC.
  • Experience with Chisel is a plus.
  • Strong communication skills both written and oral.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • Develop innovative silicon HW accelerators and system designs to extend the state of the art performance and power efficiency for diverse AI/ML algorithms and workloads.
  • Understand the design and implementation, develop methodology and infrastructure to drive Performance, Power and Area (PPA) improvements in your contributions
  • Understand programmability impact of all your innovations in silicon hardware and develop strategies to ease software development challenges
  • Collaborate with silicon architects, designers and software engineers for optimal solutions


Work type

Full time

Work mode



Santa Clara