Senior HPC Application Engineer

Senior HPC Application Engineer page is loaded## Senior HPC Application Engineerlocations: NTU Main Campus, Singaporetime type: Full timeposted on: Posted Todayjob requisition id: R Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world's top universities.The High-Performance Computing Centre (HPCC) was established in 2010 to support the needs of large-scale and data-intensive computation at the Nanyang Technology University, Singapore (NTU).For more than 10 years, HPCC has grown and achieved recognition for energy efficiency, pioneering technologies and innovation. Located at the North Spine of NTU, HPCC provides resources, services, and expertise to NTU research and teaching community.We are seeking a dynamic and enterprising individual to join us as a Senior HPC Application Engineer.**Key Responsibilities*** Port scientific applications to GPU (e.g., using CUDA, HIP, OpenACC) or optimize for multi-core CPUs or optmisation of AI applications.* Optimize memory access patterns, data locality, and compute kernels.* Profile and tune performance across heterogeneous systems.* Conduct benchmarking across CPU and GPU nodes using representative AI and scientific workloads.* Analyze performance metrics and identify bottlenecks.* Work closely with researchers to understand application needs and provide technical guidance.* Develop documentation, training materials, and reusable code templates.**Requirements*** Bachelor's degree in Computer Engineering, Sciences or its equivalent.* Hands-on experience with CUDA, OpenCL, C/C++, and Python.* Working knowledge for parallel programming models (MPI, OpenMP, CUDA, SYCL)* Proven track record in GPU driver development, performance profiling, and debugging.* Familiarity with Linux kernel, Windows WDDM, or embedded systems is a plus.* Experience working on GPU-accelerated applications in domains like gaming, machine learning, scientific computing, or graphics rendering.* Exposure to cloud GPU platforms (e.g., AWS, GCP) or energy-efficient computing is increasingly.* GPU Programming: Expertise in CUDA, OpenCL, C/C++, and Python.* Architecture Knowledge: Deep understanding of GPU internals, memory hierarchy, and parallel computing.* Performance Tuning: Experience with profiling tools, debugging, and optimization techniques.* Domain Tools: Familiarity with graphics APIs (OpenGL) or ML frameworks (TensorFlow, PyTorch)* Strong problem-solving, communication, and teamwork abilities.We regret that only shortlisted candidates will be notified.Hiring Institution: NTUNTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ( ).Ranked amongst the world's top universities by QS, NTU has also been named the world's top young university for the past seven years. The University's main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore's healthcare district.Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.For more information, visit #J-18808-Ljbffr