Key Responsibilities
Partner with customers and ecosystem software vendors to integrate, test, and optimize software solutions for Intel products.
Research, prototype, and develop software that leverages Intel's product capabilities to drive adoption across market segments.
Conduct performance tuning, debugging, and benchmarking to ensure differentiation and efficiency in software-enabled Intel technologies.
Deliver technical collateral, training materials, and differentiated benchmarks to support customer success and ecosystem enablement.
Influence product design, simulation, and projection strategies by identifying and driving key workloads into future product requirements.
Qualifications
Minimum qualifications are required to be initially considered for this position.
Master's degree in Computer Science, Computational Science, Engineering, Physics, Mathematics, Financial Engineering, or a related technical discipline, or equivalent professional experience.
Experience in software development, scientific or quantitative computing, HPC or other workload optimization, application engineering, or a closely related field.
Strong programming skills in C and/or C++, together with experience using Python or another modern scripting language.
Experience working in Linux or UNIX-based HPC or high-performance financial computing environments.
Experience with parallel programming technologies such as MPI and OpenMP.
Experience with software performance analysis, profiling, benchmarking, debugging, and optimization.
Ability to understand complex customer workloads and collaborate with internal engineering teams to drive issue resolution.
Strong written and verbal communication skills in English, including presenting technical material to expert audiences.
Ability to manage multiple technical workstreams and operate independently in a customer-facing environment.
Preferred Qualifications
Experience supporting HPC centers, research institutions, large-scale scientific computing deployments, or financial-services trading, risk, and analytics platforms.
Experience with accelerator programming technologies such as SYCL, OpenMP target offload, CUDA, or OpenCL.
Experience optimizing applications in domains such as physics, engineering simulation, computational chemistry, climate and weather, life sciences, AI for science, or financial workloads such as risk management, pricing, quantitative research, and real-time trading.
Experience with compilers, numerical and communication libraries, AI frameworks, and HPC/FSI performance analysis tools.
Familiarity with cluster environment, workload schedulers, networking, storage, low-latency interconnects, and software environment management.
Experience building sustained technical relationships with customers, academic researchers, financial-services technology teams, and ecosystem partners.
Demonstrated experience applying AI-enhanced methods in HPC or FSI environments, such as integrating AI into scientific or financial workflows, accelerating AI workloads on HPC/FSI systems
Job Type
Experienced Hire
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.
- 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.
