Senior Networking AI Platform Engineer

We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. You’ll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.

As a key contributor, you will drive the entire software development lifecycle—from conceptualization and architecture to implementation and production—while working closely with engineering teams to solve complex problems and help build a successful NVIDIA practice.

What You'll Be Doing

• Lead the design, development, and deployment of robust software systems across different platforms and environments
• Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
• Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
• Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
• Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
• Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
• Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
• Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
• Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.
  
  

• Bachelor’s or master’s degree in computer science, Data Science, or a closely related discipline.
• Over 5 years of experience in software development and/or MLOps.
• Strong proficiency in programming languages such as Python, Java, C++.
• Deep understanding of cloud services architecture and the ability to create real-world applications that include telemetry, authentication, authorization, and security standard methodologies.
• Proven track record of leading complex software projects from concept to delivery.
• A "can do" attitude with exceptional problem-solving skills and the ability to thrive in fast-paced environments..
• Strong problem-solving skills and ability to solve and resolve sophisticated issues in a timely manner.
• Excellent communication and collaboration skills, with the ability to work effectively in multi-functional teams.
• Attention to detail and a focus on quality, ensuring robustness and reliability in production ML systems.
• Experience with Kubernetes architecture and management is a plus.
  
  

• Exude high energy and a positive attitude.
• Stellar verbal and written communication skills.
• Passionate about data science and implementation.
• Have data science and GPU performance experience.
• Want to make what was impossible possible!