HPC and Financial Workload Optimization Engineer (HPC/Financial)

Location: On-site in PRC, Shanghai, China; Shift 1 (China).

Company

hirify.global is listed as the hiring company, while the role description identifies Intel's Data Center Group as the business group supporting enterprise, cloud, edge, HPC, and data-centric computing solutions.

What you will do

• Partner with customers and ecosystem software vendors to integrate, test, and optimize software solutions for Intel products.
• Research, prototype, and develop software that uses Intel product capabilities to drive adoption across market segments.
• Perform performance tuning, debugging, benchmarking, profiling, and optimization for HPC and financial workloads.
• Deliver technical collateral, training materials, and differentiated benchmarks for customer and ecosystem enablement.
• Identify important workloads and influence product design, simulation, projections, and future product requirements.

Requirements

• 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++, plus experience with 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, collaborate with internal engineering teams to resolve issues, manage multiple technical workstreams, and operate independently in a customer-facing environment.
• Strong written and verbal communication skills in English, including presenting technical material to expert audiences.

Nice to have

• 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 physics, engineering simulation, computational chemistry, climate and weather, life sciences, AI for science, risk management, pricing, quantitative research, or real-time trading.
• Experience with compilers, numerical and communication libraries, AI frameworks, and HPC/FSI performance analysis tools.
• Familiarity with cluster environments, 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, including integrating AI into scientific or financial workflows and accelerating AI workloads on HPC/FSI systems.

Culture & Benefits

• Full-time employment with an on-site work model.
• Customer-facing collaboration across research, engineering, business, academic, financial-services, and open-source stakeholders.
• Commitment to responsible business practices and ethical hiring.
• No recruitment, medical examination, or other hiring fees are charged to candidates.
• Equal employment consideration is provided in accordance with local law.