AI Algorithms Software Engineer (RDSS Intern)

3 Months ago • Upto 1 Years • Artificial Intelligence

Job Summary

Job Description

NVIDIA seeks a Deep Learning Algorithms Software Engineer (RDSS Intern) to architect, develop, and prototype deep learning algorithms for its Metropolis platform, focusing on manufacturing AI. Responsibilities include collaborating with various teams, developing algorithms for zero/few-shot learning and unsupervised learning to overcome data scarcity, optimizing deep learning models for efficiency, and supporting customer engagements. The ideal candidate will possess expertise in LLMs, multi-modal foundation models, model optimization techniques, and deep learning frameworks like TensorFlow and PyTorch. This internship is part of the 2025 RDSS (Research and Development Substitute Services) program.
Must have:
  • MS/PhD in CS/related field (graduating 2025)
  • Strong algorithm development experience (LLMs, MMFMs)
  • Experience with advanced algorithms (zero/few-shot learning)
  • Deep learning model optimization expertise
  • TensorFlow/PyTorch proficiency
Good to have:
  • Experience with PEFT and generative AI models
  • Data analytics skills
  • Excellent communication skills

Job Details

By submitting your resume, you’re expressing interest in our 2025 RDSS ( Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying for the role.

NVIDIA is searching for Deep Learning algorithms architect to develop artificial intelligence (AI), computer vision algorithms and applications for our Metropolis for Factories and Manufacturing platforms. Artificial Intelligence is transforming how we collect, inspect, and analyze different kinds of sensor data that impacts everything from manufacturing automation, warehouse management, product inspections to safety workflows. NVIDIA Metropolis is leading this AI revolution, providing the tools, technologies, and expertise to meet every challenge with smarter, faster applications.

This challenging role will require someone who deeply understands and can architect algorithms with Large Language and Multi-modal (LLM/LMM) Foundation models to advance the application of artificial intelligence and machine learning to the Manufacturing AI market. Practical experience in the use and the building of Computer Vision algorithms, models and tools will be critical.

What You’ll Be Doing:

  • You will be a key member of a growing software team that can architect, analyze, develop and prototype key deep learning algorithms and solutions.

  • Work and collaborate with different software, research, and hardware teams across geographies for solving critical problems.

  • Develop algorithms, such as zero/few-shot learning and unsupervised learning, to address challenges related to data scarcity and collection.

  • Optimize deep learning models for deployment using techniques like model distillation, quantization, pruning, and others to ensure the highest efficiency across platforms

  • Understand and analyze the interplay of hardware and software architectures on future applications.

  • Support engagements with customers and their third-party software providers, collaboration with Product Managements, Marketing, and Developer Technology teams.

What We Need To See:

  • MS or PhD candidate graduating in 2025, with expertise in Computer Science, Computer Engineering, Electrical Engineering, or a related field with a focus on Deep Learning, Machine Learning, and Computer Vision.

  • Strong algorithm development experience, particularly in data analytics, with a focus on large language models (LLMs) and multi-modal foundation models.

  • Experience with advanced algorithms, including zero/few-shot learning, self-supervised and unsupervised learning, as well as domain adaptation methods like PEFT (Parameter-Efficient Fine-Tuning) and generative AI models for synthetic data creation.

  • Expertise in deep learning model optimization techniques, such as model distillation, quantization, pruning, and other methods that improve computational efficiency..

  • Hands-on experience with deep learning frameworks like TensorFlow and PyTorch.

  • Strong 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 hardworking people in the world working for us. Are you a creative and autonomous data scientist who loves challenges? Do you have a genuine passion for advancing the state of AI & machine learning across a variety of industries? If so, we want to hear from you. Come and join our Metropolis / team where you'll help build our real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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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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