Internship Machine Translation Jobs (NOW HIRING)

NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory architecture team creates new, innovative products tailored to NVIDIA's world-changing solutions for data center, autonomous vehicles, AI, gaming, mobile systems.

What you will be doing:

• Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system, Memory management, Virtualization & security optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.

• Participating in performance simulation of features to improve translation efficiency to access memory and io using protocol like PCIe.

• Implementing and maintaining high-level functional and performance models.

• Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations.

• Defining and performing experiments to study the machine in action, presenting experiment results to the larger group and proposing mechanisms for improvement.

• Creating architectural specifications and customer-facing documents. Working with partners in the industry to generate specifications which consider software interfaces to the GPU.

• Debugging performance and functional issues with high-level models, RTL simulation, silicon & systems.

What we need to see:

• Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus.

• 3+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area interconnects, QoS. Memory hierarchy, Memory model & ordering, multifunction HW accelerator, software, virtualization, and security.

• Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Your history of successfully mentoring junior engineers and interns is a huge plus.

Ways to stand out from the crowd:

• Experience with hardware memory management unit, prefetching, accelerator IPs, memory subsystem hierarchy.

• Practical experience with multi-core systems, coherent interconnects & Industry IO protocol like PCIe/CXL, encryption, compression, confidential compute, or virtualization & security.

Do you desire to be a part of a team of talented engineers developing ground-breaking GPU architectures from specification through implementation to extend the state of the art in GPU performance and functionality? Are you motivated to solve complex problems while optimizing performance, area, complexity, and power? If so, our GPU memory architecture group is looking for you. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented market opportunities, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you.