AI Software Development Engineer - Remote

Overview

Shape the future of AI by contributing to software used by the global community. Collaborate with top-tier software engineers to develop a comprehensive toolset that rigorously tests deep learning models and frameworks on the most powerful computers.

In Short

• Collaborate with internal partners, users, and the open-source community to develop and implement solutions for building, testing, integrating, and releasing NVIDIA AI services and deep learning frameworks.
• Work with internal engineering teams to deploy and operationalize AI models and services at scale.
• Drive adoption for end-to-end AI solutions in the cloud and on-prem.
• Implement and maintain tools and infrastructure that enable teams to productize the NVIDIA software stack, from deep learning frameworks to deep learning models and AI services.
• Automate and optimize testing of deep learning models and AI services from different domains, with a focus on inference.
• Develop shared utilities for setting up systems, running tests, and recording results.
• Configure, maintain, and build upon deployments of industry-standard tools.
• Lead best practices for building, testing, and releasing software, including AI services and Deep Learning models, and documenting them.
• Identify infrastructure needs and translate them into action.
• Build tools for automatic content generation mechanisms that save dozens of engineering hours.

Requirements

• BSc or MS degree in Computer Science, Software Architecture or related engineering field.
• 5+ years of work experience in software development.
• Excellent Python programming and system design skills.
• Understanding of Deep Learning foundations, allowing benchmarking on DL models and AI services.
• Strong analytical and problem-solving skills, and a proactive, data-driven approach.
• Effective time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.
• Effective communication, an open-minded attitude, and comprehensive documentation practices.

Benefits

• Information on benefits is currently missing.