Threat Research Engineer
NVIDIA
NewDesign and accelerate novel generative AI models, publish original research, and collaborate with team members while mentoring interns. Requires at least two years of experience, a bachelor's degree or higher in computer science or electrical engineering, and publication at leading ML conferences. Essential skills include strong Python programming, PyTorch, knowledge of LLMs and foundation models, with C++ and CUDA as pluses. Based in Singapore.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team. We are dedicated to the development and optimization of GPU-accelerated efficient AI computing, covering language model, visual generation, and robotics. We focuses on pushing the boundaries of generative AI by designing models that are not only powerful but also efficient in terms of computational resources.
You will be part of an amazing collaborative research team that consistently publishes at the top venues in machine learning, robotics and computer vision. Your contributions have the chance to create real impact on our products.
What you'll be doing:
Research, design and accelerate novel generative AI models
Publish original research
Collaborate with other team members and teams
Mentor interns
Speak at conferences and events
Transfer technology to product groups
Collaborate with external researchers
What we need to see:
Excellent knowledge of LLM and foundation models
Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, etc)
2 years of experience.
Bachelor, master, or PhD degree in computer science or electrical engineering with strong research track records.
Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus
Knowledge of common machine learning frameworks, such as PyTorch
Excellent communication skills
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. Looking forward to hear from you.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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