Performance Engineering Interns

Applied Materials, Inc. is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future.

Architecture Modeling and Simulation Engineering Interns (Performance Engineering Interns): Work with experienced engineering team to build simulation framework and performance models for highly innovative platform architectures, including AI accelerator.; Prior experience with large code-base simulators, development and performance modeling and analysis for CPU/GPU/SoC/ML accelerators; C/C++/SystemC/Python; Exposure to multi-GPU scaling of workloads. Some understanding of architecture/micro-architecture trade-offs for performance and power analysis; Understanding of computer vision AI models a plus.

Ideal Candidate

• Should have prior experience in managing large code-base and development of performance simulation models and performance analysis
• Should have prior development experience in C++/SystemC/Python
• Familiarity with AI accelerators and GPUs is a plus
• Preferably, good exposure to computer vision related AI models (e.g. ResNet, Yolo) and AI frameworks (e.g. TensorFlow, Pytorch)

Qualifications

Students pursuing BS degree in Computer Science/ECE with prior C/C++ development and performance optimizations experience. Masters or PhD students with prior research experience preferred.

Compensation

$35 - $52

The rate offered to a selected candidate will be based on a number of factors including location and education level and will vary depending on confirmed job-related knowledge, skills, and experience.

Qualifications

Education:

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Additional Information

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.