Software Engineer Intern, AI and DL Kernel Libraries - 2027
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PhD students in electrical engineering, computer engineering, or computer science will research AI accelerator design, VLSI circuits, and hardware-software co-design. Day-to-day work includes advancing accelerator architectures, developing novel ASIC design techniques, researching quantization and numerical methods, and collaborating on research testchips. Required skills include Python/PyTorch, SystemVerilog or C++, and modern EDA tool flows, with publication records in ML, architecture, or VLSI conferences. Hourly rate is $38–$94 depending on location and experience.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA Research is seeking PhD-level students to work as research interns at the intersection of AI HW/SW Co-Design, Hardware Accelerator Architecture, IC Design Methodology, and VLSI Design. Ideal candidates will have a broad perspective across areas including machine learning fundamentals, quantization and numerical methods for machine learning model optimization, digital VLSI circuits for computer arithmetic, high-productivity VLSI design and verification methodologies including applications of agentic AI to hardware design, AI hardware micro-architecture, and VLSI methodology and implementation.
What You’ll Be Doing:
What We Need To See:
Widely considered to be one of the technology world’s most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until October 3, 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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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