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About This Role
- 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.
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Specialisation
Open roles at Intel
732 positions
Job ID
/job/PRC-Shanghai/Software-Engineering-Intern_JR0288193
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