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NVIDIA is Hiring AI Engineers in India
NVIDIA is Hiring AI Engineers in India
Talent Sourcing Odyssey

NVIDIA is Hiring AI Engineers in India

Requirements for the role include a degree in Engineering (BE/B.Tech/MS/MTech), preferably in CS/IT/Electrical/Electronics or equivalent.

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Key takeaways

  • NVIDIA is hiring AI engineers in India for roles in Bangalore and New Delhi.
  • Candidates need a degree in Engineering, preferably in CS/IT or related fields.
  • Proficiency in Python, PyTorch, and TensorFlow is essential for the role.
  • Experience with LLM, Generative AI, and MLOps technologies is preferred.
  • Successful candidates will drive NVIDIA technology adoption in Data Center and Cloud Deployments.
5 min

NVIDIA is hiring experienced AI engineers in India to join its partner companies. The selected candidates will join the NVIDIA Partner Network as employees and will be responsible for driving the adoption of NVIDIA technology and securing innovative design wins in Data Center, Edge, and Cloud Deployments.

Interested candidates can apply here. 

The roles are based in Bangalore and New Delhi and focus on the position of Deep Learning Solutions Architect.

Requirements for the role include a degree in Engineering (BE/B.Tech/MS/MTech), preferably in CS/IT/Electrical/Electronics or equivalent. Candidates must have a comprehensive understanding and hands-on experience in NLP, Deep Learning, and Machine Learning, with optional experience in LLM, Generative AI, and RAG workflows. 

Proficiency in coding using Python, PyTorch, and TensorFlow is essential, with a bonus for experience in C++ and CUDA. Candidates should also possess a strong grasp of associated software architecture and frameworks, along with effective communication and presentation skills, and the ability to multitask in a dynamic environment.

The company is seeking candidates with a proven track record of 2-5 years in writing code in Python, PyTorch, TensorFlow. Experience with C++ and CUDA is a bonus. The ideal candidate will have a thorough understanding of associated software architecture and frameworks.

Standout candidates may have a background in customer-facing roles, development experience with NVIDIA software platforms and GPUs, and knowledge of MLOps technologies such as Docker/containers, Kubernetes, and data center deployments.

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