Software Engineering Intern, AI Engineering - 2025

3 Months ago • Upto 1 Years • Artificial Intelligence

Job Summary

Job Description

NVIDIA's AI Engineering team is seeking a Software Engineering Intern to contribute to performance testing of various company products. The intern will work within the PerfLab team, implementing AI technologies to streamline workflows, optimizing test costs, and improving efficiency. Responsibilities include designing, building, and maintaining software systems, tools, and AI agents using advanced infrastructure. Collaboration with global experts is key to tackling challenges and driving impactful project developments. The ideal candidate will have a strong understanding of ML/DL, experience with LLMs, and proficiency in Python.
Must have:
  • Pursuing CS/EE/AI related degree
  • Python mastery (Unix/Windows)
  • Understanding of ML/DL techniques
  • LLM prompt engineering experience
  • MLOps workflow understanding
  • Strong collaboration skills
Good to have:
  • AI model development experience
  • LLM fine-tuning (PyTorch, TensorFlow)
  • Embedding models & vector DB knowledge
  • Agentic LLM frameworks (Langchain, LlamaIndex)
  • Hackathon/open-source contributions

Job Details

Join NVIDIA's AI Revolution: Be a Part of the PerfLab Team!

NVIDIA is hiring passionate AI Software Engineer Interns to support our growing investments in performance testing of various company products. You will join our global performance lab team and work to improve our team’s ability to expertly and accurately test a growing number of applications and hardware platforms.

What you'll be doing:

  • Implement AI technologies to streamline Perflab workflows, optimizing test costs and improving efficiency.

  • Work with NVIDIA's global experts to tackle intriguing challenges and drive impactful project developments.

  • Use Perflab's advanced infrastructure to design, build, and maintain software systems, tools, and AI agents, providing immense value to our diverse customers.

What we need to see:

  • Pursuing a degree in Computer Science, Electrical Engineering, Artificial Intelligence or a related field.

  • Mastery of Python in Unix and Windows environments, with strong fundamentals of software design.

  • Understanding of ML/DL techniques, algorithms and tools with exposure to CNN, RNN, Transformers (ViT, BERT, BART, GPT/T5, Megatron, LLMs).

  • Proven experience with LLM prompt engineering, optimization, evaluation and validation.

  • Understanding of MLOps life cycle and experience with MLOps workflows & traceability, curation & augmentation of datasets.

  • Strong collaborative and interpersonal skills, effective influence within a dynamic matrix environment.

  • Excellence in written and oral English.

Ways to Stand Out from the crowd:

  • Practical experience in AI model development, training, evaluation and deployment.

  • Expertise in training and fine-tuning LLMs using popular frameworks such as PyTorch, TensorFlow or Hugging Face Transformers.

  • Good knowledge of embedding models and vector DB.

  • Prior experience with agentic LLM frameworks like Langchain and LLamaIndex.

  • Proven track record of innovation and problem solving, showcased through hackathons, published papers, open-source contribution, competitions, or innovative projects.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people on the planet working for us. If you're creative and autonomous, we would like to hear from you!

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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