Job at Intel
Software Engineering Intern
- Employer
- Intel
- Location
- PRC, Shanghai
- Workplace
- Not supplied
- Employment
- part-time
- Published
- First listed on USASI
This posting comes from Intel’s own Workday job board. USASI checks that board twice a day and removes this page once the employer closes the posting. The description below is Intel’s text as published; USASI does not edit it, does not recruit, and does not take applications. How jobs are collected.
Job description
Job Details:
Job Description:
The Role and Impact
In this position, you will help optimize financial-services and HPC workloads, and support customer success and the enablement of quantitative applications - the compute-intensive workloads that power modern finance.
Working alongside experienced Intel engineers, you'll help tune real financial workloads such as risk analytics, Monte Carlo simulations, and portfolio optimization. We're looking for a foundation in software engineering and an interest in performance optimization, quantitative computing, and AI in HPC environments. Familiarity with numerical methods, parallel computing, or financial modeling is a plus, but curiosity and problem-solving matter more than deep experience.
As an intern, you'll get hands-on access to cutting-edge Intel hardware and software and learn to write and tune high-performance code for real financial workloads - building practical skills in development and optimization, mentored by engineers at the leading edge of HPC in finance.
Qualifications:
Required:
- Postgraduate of Computer Engineering, Computer Science, Electrical Engineering or Software College.
- Programming experience with C/C++ in Linux and/or Windows environments.
- Familiarity with Operating Systems and Computer Architecture (and/or Intel CPU architectures)
- Working knowledge of shell scripts and the GNU tool chain on Linux and familiarity, and Microsoft Visual C++ build environment.
- Collaboration skills and the ability to work in a team environment.
Preferred:
- Knowledge of CPU/GPU architecture, multi-threading, vectorization.
- Ability to debug large applications that may include parallel programming technologies.
- Knowledge of parallel programming, such as DPC++/CUDA/OpenCL/OpenMP.
- Experience with performance tuning and analysis tools.
- Experience with parallel programming technologies or financial-services related applications.
Job Type:
Student / Intern
Shift:
Shift 1 (China)
Primary Location:
PRC, Shanghai
Additional Locations:
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 require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
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