We are now looking for a Software Engineer, Generative AI Research! Foundation models are revolutionizing the production of digital content across a wide range of commercial applications, from digital advertising to the creation of visual art. At NVIDIA Picasso, we're at the forefront of this transformation, providing a foundry for NVIDIA’s partners to develop pioneering generative foundation model products in the visual domain. Our focus is on creating innovative text2image, text2video, and text23d models to seize emerging business opportunities.

　　To bolster our efforts and better support our partners, the NVIDIA Picasso research team is on the lookout for experienced engineers. In this vital role, you will enhance the efficiency of our research operations. Your contribution will be pivotal in optimizing large-scale training and data pipelines, as well as in establishing robust software engineering practices that propel our projects to new heights of innovation and success.

　　What You'll Be Doing:

　　Improving frameworks for large-scale training and data processing.

　　Developing, deploying and monitoring large scale AI data pipelines.

　　Establishing and maintaining robust continuous integration and deployment (CI/CD) pipelines.

　　Working in close collaboration with AI researchers to tailor solutions that boost research productivity.

　　Enabling and advocating for software engineering best practices within the team, ensuring code quality, maintainability, and scalability.

　　What We Need to See:

　　A Master’s degree in Computer Science, Engineering, or a related field, or additional equivalent experience.

　　5+ years of relevant software engineering experience, preferably in an AI research or data-intensive environment.

　　Strong programming skills in Python and familiarity with PyTorch.

　　Proven experience in developing and scaling complex software systems.

　　Solid understanding and application of software engineering methodologies and practices.

　　Excellent problem-solving, organizational, and communication skills.

　　Experience implementing computer vision algorithms using deep neural networks, such as object detection, scene parsing, image segmentation, and image captioning

　　.

　　Ways to Stand Out from the crowd:

　　Experience in developing or using deep learning frameworks.

　　Experience with large scale AI data processing and/or training.

　　Knowledge of CUDA and cloud computing platforms.

　　A track record of working in cross-functional teams, particularly in bridging the gap between research and engineering. Prior experience in an AI or Machine Learning research environment a huge plus.

　　With highly competitive salaries and a comprehensive benefits package (https://www.nvidia.com/en-us/benefits) , 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 on the planet working for us. If you're creative and collaborative software engineer with a passion for Generative AI research, we want to hear from you!

　　The base salary range is 144,000 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 (https://www.nvidia.com/en-us/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.

　　NVIDIA is a Learning Machine

　　NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

　　Learn more about NVIDIA .