NVIDIA
Senior Systems Software Engineer, Gen AI
NVIDIA, Santa Clara, California, us, 95053
We are the NVIDIA-Metropolis TAO (Train-Adapt-Optimize) team and are looking for a Senior Engineer to join our algorithms architecture team and develop our Generative AI and Foundational model solutions. NVIDIA has been redefining accelerated computing and powering the engines of artificial intelligence. We are developing a host of solutions including vision-language foundational models for images and video understanding. Come join us in these exciting times and make a sizable difference in the exploding world of Deep Learning! Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, cultivating environment where everyone is inspired to do their life's work.
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 Smart City/Retail/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.Study, implement and work on cutting edge image/video-based Generative AI models.Developing AI infrastructure for large scale training and workflows for multi-modal data curation.Architect, design and use your software engineering expertise to optimize, deploy and productize AI models.Collaborate closely with Research, Cloud, Architecture and Libraries teams at NVIDIA to develop, deploy training, fine-tuning and inferencing solutions.What We Need To See
MS or PhD in Computer Science, Computer Engineering or Electrical Engineering or related field in Deep Learning, Machine Learning and Computer Vision or equivalent experience.4+ years of algorithm development experience or data analytics, especially with LLM’s and Multi-Modal Foundation models.Experience working 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.
The base salary range is 176,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits.
NVIDIA accepts applications on an ongoing basis.
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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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 Smart City/Retail/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.Study, implement and work on cutting edge image/video-based Generative AI models.Developing AI infrastructure for large scale training and workflows for multi-modal data curation.Architect, design and use your software engineering expertise to optimize, deploy and productize AI models.Collaborate closely with Research, Cloud, Architecture and Libraries teams at NVIDIA to develop, deploy training, fine-tuning and inferencing solutions.What We Need To See
MS or PhD in Computer Science, Computer Engineering or Electrical Engineering or related field in Deep Learning, Machine Learning and Computer Vision or equivalent experience.4+ years of algorithm development experience or data analytics, especially with LLM’s and Multi-Modal Foundation models.Experience working 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.
The base salary range is 176,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits.
NVIDIA accepts applications on an ongoing basis.
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.
#J-18808-Ljbffr