We're currently seeking a Senior Developer Technology Engineer
Are you interested in developing techniques to accelerate large application workloads on advanced computer architectures? Do you find it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance on state-of-the-art 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.
What you will be doing:
- In this position, you will research and develop techniques to accelerate leading applications in high performance computing fields within artificial intelligence, scientific computing, or computational engineering.
- Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI or HPC algorithms to ensure the best possible performance on the current and next generation of NVIDIA GPUs, CPUs (Arm and x86 architectures), and/or network 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.
- Occasional travel for conferences and on-site visits with developers.
What we need to see:
- A master's or PhD degree (or additional equivalent experience) in Computer Science, Computer Engineering, or a domain science with a strong focus on the related computational methods.
- 5+ years of relevant work experience or research.
- A passion for performance optimization.
- Programming fluency in C/C++ with a deep understanding of algorithms, programming techniques, and software design.
- Hands-on and current experience with parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.
- Strong mathematical fundamentals, including linear algebra and numerical methods.
- Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
Ways to stand out from the crowd:
- Expertise in parallelization and performance optimization of Deep Learning models, especially Large Language Models.
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.
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