Job Details:

Job Description: 

As AI reshapes not only computing, but also business and society, Intel is making major bets on the future of AI and particularly in data center computing. Intel's Datacenter and AI Solutions (DAIS) organization is a critical part of Intel boarder AI efforts. DAIS responsibility spans data center workloads from generative AI and deep learning to analytics, HPC, and graphics - all of which are intertwined in the future of computing.

DAIS Customer Solutions Engineering (CSE) organization to drive our customer technical engagement. CSE drives design-in, onboarding and architecting solutions for their key care abouts from silicon all the way to systems. We engage with OxM and CSPs, and their customers, to build deep technical knowledge of their AI infrastructure and help drive customer success.

As part of Intel's CSE’s Competitive Response Engineering organization, we are seeking a graduate intern skilled in python/bash/C++ and GPGPU programming. Essential responsibilities for this position are:

- Evaluate SPEC HPC applications on Intel's Data Center discrete GPUs and CPUs, identify bottlenecks and improve performance.

- Develop a tool (internal automation) for collecting performance data and visualization.

- Team up with Intel compiler and other tools teams to improve developer experience.

What do we offer?

• A collaborative, supportive environment, where your equally brilliant colleagues will push you to be your best.

• Competitive pay

• Diverse and inclusive environment (read more about it here)

• Being a part of a socially and ecologically responsible company (read more about it here).

• Dedicated training for you during your first weeks at the company to make your transition into work easier and a personal buddy to help you build your network, answer any questions and integrate you into your position.

• Opportunities for professional development – wide library of online trainings and learning platforms, support and guidance from your team and manager, and different assignment programs.

• The possibility to build a lifelong career at Intel.

Qualifications:

Minimum Qualifications:

• Must be pursuing a graduate degree in Computer Engineering, Computer Science, or a relevant engineering discipline.
• 6+ months of non-trivial hands-on with dGPUs python programming.
• 6+ months of C++/python programming
• Good understanding of CPU and GPU architectures

Preferred Qualifications:

• Previous industry/intern experience

• CUDA expertise

• AI/ML experience

Please note that the student needs to be enrolled for the full duration of the student employment.

          

Job Type:

Student / Intern

Shift:

Shift 1 (Germany)

Primary Location: 

Germany, Munich

Additional Locations:

Business group:

The High Performance Computing (HPC) group within Intel's Accelerated Computing Systems and Graphics Group (AXG) defines, delivers, and markets products that are critical to customers in Cloud, Government, Academia, and Industrial market segments. These products help end customers gain insight into and discover solutions to their most important problems. AXG products enable a broad range of breakthroughs: from cutting edge film making and animation, to scientific discoveries, weather simulation, to success in investment banking, to breakthroughs in manufacturing from small businesses to the largest industries.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

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. In certain circumstances the work model may change to accommodate business needs.