Lead Report Developer responsible for all clinical programming including reporting and analytics for data management. Oversee data reporting activities for multiple clinical programs within a healthcare company.
About the role
- Senior Developer Technology Engineer at NVIDIA researching and developing techniques to GPU accelerate AI workloads. Collaborating with industry experts and optimizing algorithms for best performance.
Responsibilities
- research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.
- work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure the best possible AI solutions on modern CPU and GPU architectures.
- publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.
- influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.
Requirements
- A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience).
- 8+ years of relevant work experience or research.
- Programming fluency in C/C++ with a deep understanding of algorithms and software development.
- A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.
- Hands on experience doing low-level performance optimizations.
- In-depth expertise with CPU and GPU architecture fundamentals.
- Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.
Benefits
- equity
- benefits
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