Senior Developer Technology Engineer, Public Sector

What you'll do

• Research and develop techniques to GPU-accelerate applications in fields like CFD, EDA, and AI.
• Perform in-depth analysis and optimization to ensure peak performance on current and next-generation GPU architectures.
• Craft and optimize core parallel algorithms and data structures for GPU-based solutions.
• Develop reference code and contribute directly to the full software stack, including libraries and applications.
• Influence the design of architectures and programming models by investigating impacts on performance and productivity.
• Profile and optimize applications and frameworks using tools like Nsight Systems and Nsight Compute.
• Develop and optimize workflows involving High-Performance Computing (HPC) and AI models.

What we're looking for

• Have an MS or PhD degree or equivalent experience in Computer Science, Engineering, or a STEM field.
• Possess programming fluency in C/C++ with a deep understanding of software design, programming techniques, and algorithms.
• Have 5+ years of relevant work experience with parallel programming, ideally using CUDA C/C++, OpenMP, MPI, or SHMEM.
• Demonstrate strong computer science fundamentals, including parallel data structures, algorithms, combinatorics, and sparse representations.
• Experience optimizing complex codes for GPUs, including kernel optimization and understanding how software runs on hardware (preferred).
• Possess a background with algorithm and architecture codesign (preferred).
• Have domain expertise in EDA, HPC, CFD, graph analytics, data science, network analysis, machine learning, or deep learning (preferred).
• Have experience profiling and optimizing applications and frameworks using Nsight Systems and Nsight Compute (preferred).