Intel Labs is the company's world-class, industry-leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high-risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units. The position is in the Dependability Research Lab of Intel Labs, located in Munich, Germany.

We are looking for a candidate for a temporary position either as working student, intern, or to work on a master's thesis. Ideally, you are currently pursuing a master's degree on a relevant academic institute and want to strengthen your skill set in GPU programming and AI/ML safety in autonomous systems. Together with the research team, you will work on evaluating and extending existing safe GPU compute techniques for application in AI-based safety-critical systems.

Tasks

Together with the team, you will:

• study and understand the state-of-the-art techniques to enable safe compute on modern COTS (Commercial Off-The-Shelf) GPUs

• implement and evaluate selected methods for representative GPU kernel implementations (e.g., for matrix multiplication)

• evaluate the kernel implementations for complex AI/ML tasks deployed in safety-critical autonomous systems

• create a prototype/demo to showcase the developed safe GPU compute techniques

Qualifications

The ideal candidate meets the following criteria:

• Pursuing studies in electrical engineering, computer science, mathematics, physics, or other related fields

• Good background in GPU programming and performance profiling

• Good background in AI/ML methods, especially DNNs and their evaluation

• Programming skills in OpenCL, Python, C/C++

• Knowledge about safety in autonomous systems (e.g., automated driving, robotics) advantageous

• Excellent English is a must, German knowledge advantageous

Please note that in order to be eligible for this position you need to be enrolled in a university program.

Inside this Business Group

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.