Nvidia is hiring a
Senior Sys SW Manager - AI
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. NVIDIA is at the forefront of generative AI models, from language to images. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. We are looking for a passionate, extraordinary Manager to work in the Enterprise Workstation team to lead innovative products that integrate AI libraries like TensorrRT and cuDNN.What you will be doing:
Lead and drive the design, architecture, and implementation of groundbreaking AI based products.
Lead a team of expert engineers and mentor new engineers in a complex technology based environment. Provide technical guidance and career mentorship.
Hands-on coding in C++, Python, leading code reviews. Set standard development practices across your team.
Develop and handle meaningful, achievable engineering plans aligned with key objectives
A Bachelors or Masters in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
9+ overall years in a similar or related role with 5+ years of leading a team Management experience with the software development lifecycle.
Understanding of modern techniques in Machine Learning, Deep Neural Networks and Generative AI. Strong computer science fundamentals - algorithms and data structures, computational complexity, parallel and distributed computing, system software.
Excellent organization and interpersonal skills. Flexibility to work across time zones.
Comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.
Consistent track record of delivering end to end products with geographically distributed teams.
Exposure to cloud based deployments for AI models.
You will also be eligible for equity and benefits.
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