Summer 2024 Ai Hardware Accelerator Research Intern

Research Intern, AI Hardware Accelerator Research
Nissan Advanced Technology Center (NATC), Silicon Valley, is looking for a bright, self-motivated, and collaborative individual to join our team as an Artificial Intelligence Hardware Accelerator Research Intern, starting in Summer or Autumn of 2024. Do you have creativity and internal drive to support the innovation of great vehicles and join a winning team? Welcome to an open lane of possibility. Apply for this position and start the process to kick your career into high gear.
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.
During your internship, you will have the chance to contribute by a wide array of tasks, as you'll help:

• 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

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.

We know you have the capability to change the world, and we want you to help us change the future of automotive.
Nissan is committed to a drug-free workplace. All employment is contingent upon successful completion of a drug screen for roles based in the United States and background screening for all positions.
Salary Range Estimate: $44.00-$48.00/hr. This compensation range is provided as a reasonable estimate of the salary range for the job's grade level. Factors that may be used to determine your actual salary may include, among other things, your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.
All of us at Nissan - regardless of functional area or expertise - share a passion to design, manufacture, and sell high-performance vehicles. It is Nissan's policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.
Santa Clara California United States of America