Nvidia Director Software Engineering AI Technologies Developer Tools 

United States, California 

612718233

What you will be doing:

• Lead the development of AI-assisted developer tools features and end to end solutions involving tight collaboration with Nsight product teams, NVIDIA research and other AI experts within the company.

• Recruit a team to enable prototyping solutions and productizing within the Nsight developer tools suite

• Expand the use of AI-assisted developer tools activities beyond code generation to unleash the power of AI to tackle difficult and time consuming tasks surrounding accelerating computing adoption and code maintenance.

• Build and manage a multi-level software development team, ensuring high-quality output and adherence to project timelines.

• Collaborate proactively with QA, UX/UI, product management and development, and upper management to ensure the product vision is realized .

• Collaborate with various teams across geographies on implementation and problem solving.

• Continuously explore emerging technologies and methodologies in software

• Establish and grow a software team to develop key deep learning solutions.

What we need to see:

• MS or PhD in Computer Science, Computer Engineering, or equivalent experience.

• 15+ years of relevant experience in software development, with 5+ years in a leadership role.

• Knowledge of deep learning frameworks and libraries like PyTorch and TensorFlow.

• Experience with GIT source control and Jira project management tools.

• Strong programming skills in C++, and scripting language (Python) and Experience building tools on top of AWS and Azure backends.

• Proven ability in managing local and remote teams with strong communication skills.

• Proven track record of developing applications from initial vision to successful product release and maintenance.

• Background in computer graphics, application development for desktop and cloud, and a passion for emerging technologies.

• Experience in building and leading a multi-level software development team.

• Demonstrated ability to work independently as a self-starter, tackling complex problems.

Ways to Stand Out from the Crowd

• Experience in evaluating Large Language Models (LLMs), developing chatbots,applying machinelearning concepts in desktop and web development.

• Knowledge of GPU architecture, CUDA and GPU programming (compute and graphics shaders)

• GPU performance analysis and profiling tools