Senior Systems Software Engineer, TAO Machine Learning Data Modeling

ulate automated pseudo-labeling for various multi-modal tasks.

• Design insightful metrics (in settings: unsupervised, semi-and-supervised) for performance characterization of various models and data.

• Build scalable and robust ETL pipelines using novel and meaningful ML and DL models to deliver high-quality datasets.

• Work with internal teams to define requirements, enhance products, and automate workflows.

What we need to see:

• Bachelor's degree (or equivalent experience) in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or related field.

• 5+ years of ML / DL-related engineering experience with strong architecture and design skills.

• Excellent background and understanding of the deep roots of Machine Learning and Deep Learning.

• Expertise with an understanding of out-of-distribution and related concepts.

• Knowledge of PyTorch, distributed machine learning, and distributed file systems.'

• 3+ years leading complex sometimes ambiguous projects, particularly in high-throughput services at supercomputing scale.

• Experience with Dagster, Terraform.

• Experience in high-performance computing environments and workflow automation frameworks (e.g., Airflow).

Ways to stand out from the crowd:

• Proficient in running applications on cloud platforms using Kubernetes and Docker, and ML frameworks like Pytorch.

• Proficient in building systems and familiar with deep learning architectures and tools like NVIDIA TensorRT-LLM, Multimodal-LLM, and Triton Server.

• Familiar with GPU programming concepts, and writing custom CUDA kernels.

• Experience with SQL databases and cloud infrastructure (AWS, GCP, Kubernetes).

With a competitive salary package and 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 in the world working for us. Are you a creative and autonomous Senior Software Engineer, who loves challenges? Do you have a genuine passion for advancing the state of Machine and Deep Learning across a variety of industries? If so, we want to hear from you. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you.

The base salary range is 148,000 USD - 287,500 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.