Description
We're currently seeking a Senior Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.
In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains. You will 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 optimal AI solutions on modern CPU and GPU architectures. You will publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community. You will 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.
To succeed in this role, you will need:
- An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience)
- 8+ years of relevant experience in software development or research work
- 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
- Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills
If you have expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc., and excellent understanding of linear algebra, you will stand out from the crowd.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.