Senior Developer Technology Engineer, Public Sector

Details

NVIDIA is seeking a Senior Developer Technology Engineer to join its Public Sector Developer Technology team. The role focuses on researching and developing techniques to GPU-accelerate applications in the federal ecosystem, including computational fluid dynamics, electronic design automation, graph theory, weather and climate modeling, and AI in high-performance computing. You will perform in-depth analysis and optimization for current and next-generation GPU architectures.

Responsibilities

• Work directly with key application developers to understand current and future challenges.
• 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.
• Collaborate with NVIDIA architecture, research, libraries, tools, and system software teams.
• Investigate the impact of architectures, software, and programming models on application performance and developer productivity.
• Attend conferences and occasional on-site visits with developers.

Requirements

• MS or PhD degree, or equivalent experience, in Computer Science, Engineering, or another STEM field.
• Fluency in C/C++ with a deep understanding of software design, programming techniques, and algorithms.
• 5+ years of relevant experience with parallel programming, ideally involving CUDA C/C++, OpenMP, MPI, or SHMEM, including OpenSHMEM or NVSHMEM.
• Strong computer science fundamentals, ideally including parallel data structures and algorithms, combinatorics, and sparse representations.
• Passion for optimizing code through parallel programming.

Preferred Qualifications

• Experience optimizing complex code, particularly for GPUs, including kernel optimization and understanding how software runs on hardware.
• Background in algorithm and architecture codesign.
• Domain expertise in electronic design automation, high-performance computing, computational fluid dynamics, data and graph analytics, data science, network analysis, machine learning, or deep learning.
• Experience profiling and optimizing applications and frameworks with Nsight Systems and Nsight Compute.
• Experience developing or optimizing workflows involving HPC and AI models.

Benefits

• Equity and benefits are available.
• NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.
• The position is hybrid.

Applications for this existing vacancy will be accepted at least until April 13, 2026. NVIDIA uses AI tools in its recruiting processes.