What You’ll Be Doing
- Develop algorithms for AI/DL, data analytics, machine learning, or scientific computing.
- Tackle large-scale distributed systems capable of performing end-to-end AI training and inference-deployment (data fetching, pre-processing, orchestrate and run model training and tuning, model serving).
- Analyze, influence, and improve AI/DL libraries, frameworks and APIs according to good engineering practices.
- Research, prototype, and develop effective tools and infrastructure pipelines.
- Publish innovative results on Github and scientific publications.
What We Need To See
- A PhD or Master's Degree (or equivalent experience) and 5+ years of industry experience in Computer Science, AI, Applied Math, or related field.
- Strong Mathematical fundamentals and AI/DL algorithms skills or experience.
- Excellent programming, debugging, performance analysis, test design and documentation skills.
- Experience with AI/DL Frameworks (e.g. PyTorch, JAX).
- Excellent C/C++ and Python programming skills.
Ways To Stand Out From The Crowd
- Knowledge of GPU/CPU architecture and related numerical software.
- Prior experience with Generative AI techniques applied to Large Language Models and multimodal learning (Image, Video, Speech etc.).
- Exposure to large-scale AI training, understanding of the compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing etc) and related performance analysis and tuning.
- Hands-on experience with inference and deployment environments would be an asset (e.g. TRT, ONNX, Triton).
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 on the planet working with us. If you're creative and collaborative computer scientist with a passion for Artificial Intelligence / Deep Learning Algorithms, we want to hear from you!
Benefits Extracted with AI
- Equity
- Health insurance
- Paid vacation
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