Santa Clara, California
6 month growth↓ -1%
1 year growth↓ -4%
2 year growth↑ Infinity%
- Bachelor's degree or higher in Computer Engineering, Computer Science, Electrical Engineering, or similar field
- Experience with software development in C, C++, Python, and data structures/algorithm
- Contribute to software development using C/C++ and Python
- Benchmark and profile to identify bottlenecks and generate new ideas to improve
- Work directly with Principal Engineers and Fellows
- Knowledge of AI or HPC platform, network, and system architecture
- Experience with distributed file system development
- Experience with Linux kernel or other open-source software development
Job Description:The Memory and Storage architecture team (led by Intel Fellow Frank Hady) is actively pathfinding software and hardware architectures with close memory integration to speed the processing of Large Language Models. The team is approaching the full system architecture from both the memory hardware (bottom) and python software (top) ends of the architecture to meet in the middle at the platform level with a full solution researched. We seek an intern interested in AI software and platform architecture who will contribute to the effort to help define and prototype the software capabilities targeting optimized CPU and GPU access to computing elements distributed with memory. In this role you will contribute to software development using C/C++ and python. You will also benchmark and profile to identify the bottlenecks and generate new ideas to improve. The position offers strong opportunity for learning about AI in general and storage support for AI in particular. You’ll work directly with Principal Engineers and Fellows.
Qualifications:Minimum Qualifications: - Bachelor’s degree or higher in Computer Engineering, Computer Science, Electrical Engineering, or similar field and currently pursuing a Masters or PhD (Preferred) - Experience with software development in one or more programming languages (C, C++, Python), and with data structures/algorithm. Preferred Qualifications: - Knowledge of AI or HPC platform, network, and system architecture. - Knowledge of AI/ML algo and frameworks (Pytorch, TensorFlow), network, and system architecture. - Experience with distributed file system development - Experience with Linux kernel or other open-source software development Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Job Type:Student / Intern
Shift:Shift 1 (United States of America)
Primary Location:Virtual US
Business group:Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.
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 TrustN/A
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html
Annual Salary Range for jobs which could be performed inUS, Colorado, New York, Washington, California:$63,000.00-$166,000.00
Salaryrangedependent on a number of factors including location and experience.
Work Model for this RoleThis role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as 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.The application window for this job posting is expected to end by 12/27/2023