Nvidia Senior Systems Software Engineer Generative AI 

United States, California 

440893894

What you’ll be doing:

• Conduct applied research and design innovative algorithms in the space of image/ video and vision-language foundation models.

• Stay abreast of the latest research papers, breakthroughs in multi-modality/ foundation models research and implement these to iteratively improve NVIDIA models.

• Developing AI infrastructure for large scale training and evaluation pipelines for foundation models.

• Drive the gathering, building, and auto-labeling pipelines for annotation of datasets to train Domain specific SOTA VLMs and FMs.

• Develop, Train, Fine-tune, and Deploy Vision-Language and Visual Foundation models for varied usecases including smart cities, industrial manufacturing, gaming etc.

• Apply alignment techniques such as instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient fine-tuning such as p-tuning, adaptors, LoRA, and so on to improve use cases.

• Collaborate closely with Research teams to develop and bring SOTA models to product.

• Mentor and guide junior team members, encouraging a collaborative and innovative team culture.

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.

• 5+ years of algorithm development experience, excellent implementation skills in the Gen AI domain.

• Experience in training vision-foundation models including ViT, LLaVA, CLIP, Diffusion and VLMs.

• Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in modern software development practices (version control, testing, CI/CD).

• Publications in top-tier AI conferences or contributions to open-source projects is a plus.

• Excellent communication skills and the ability to collaborate efficiently in a cross-functional, distributed team environment.