Product Engineer, Machine Learning and GPU Accelerators

Sinian team focuses on heterogeneous compute and software-hardware cooperative technologies. We have worked on a unified heterogeneity-aware lowering and optimization platform, accelerating applications on various heterogeneous hardware. Our goal is to unleash the hardware computing power and deploy deep learning applications for improving portability,...

Sinian team focuses on heterogeneous compute and software-hardware cooperative technologies. We have worked on a unified heterogeneity-aware lowering and optimization platform, accelerating applications on various heterogeneous hardware. Our goal is to unleash the hardware computing power and deploy deep learning applications for improving portability,...

Sinian team focuses on heterogeneous compute and software-hardware cooperative technologies. We have worked on a unified heterogeneity-aware lowering and optimization platform, accelerating applications on various heterogeneous hardware. Our goal is to unleash the hardware computing power and deploy deep learning applications for improving portability,...

Minimum qualifications:Bachelor's degree or equivalent practical experience.2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.2 years of experience with data structures or algorithms.2 years of experience with performance, systems data analysis, visualization tools, or...

Do you want to be part of the AI revolution? Do you want to think out of the box, thriving on challenges in the AI industry and the desire to solve them? Do you want to work with a world-class team to explore the fast-growing AI hardware opportunities and impact on the AI industry?We’re looking forward to you joining us to collaborate, contribute, and...

Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of experience in software development, and with data structures/algorithms.5 years of experience with design and architecture, and testing/launching software products.Experience with Machine Learning.Preferred qualifications:PhD in Computer Science.Experience in running a...

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by...

Sinian team focuses on heterogeneous compute and software-hardware cooperative technologies. We have worked on a unified heterogeneity-aware lowering and optimization platform, accelerating applications on various heterogeneous hardware. Our goal is to unleash the hardware computing power and deploy deep learning applications for improving portability,...

Sinian team focuses on heterogeneous compute and software-hardware cooperative technologies. We have worked on a unified heterogeneity-aware lowering and optimization platform, accelerating applications on various heterogeneous hardware. Our goal is to unleash the hardware computing power and deploy deep learning applications for improving portability,...

Sinian team focuses on heterogeneous compute and software-hardware cooperative technologies. We have worked on a unified heterogeneity-aware lowering and optimization platform, accelerating applications on various heterogeneous hardware. Our goal is to unleash the hardware computing power and deploy deep learning applications for improving portability,...

Description Position at Grid Dynamics Our customer is an American multinational technology company headquartered in San Ramon, California. Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a...

Responsibilities Participate in the development of MLOps/AIOps machine learning platform and open source communities Responsible for the foundational research and product development, and continuously improve the R&D efficiency Responsible for feature development, algorithm optimization of the platform, improving user experience and usability through...

Job DescriptionJob DescriptionResponsibilities Participate in the development of MLOps/AIOps machine learning platform and open source communities Responsible for the foundational research and product development, and continuously improve the R&D efficiency Responsible for feature development, algorithm optimization of the platform, improving user...

Sinian team focuses on heterogeneous compute and software-hardware cooperative technologies. We have worked on a unified heterogeneity-aware lowering and optimization platform, accelerating applications on various heterogeneous hardware. Our goal is to unleash the hardware computing power and deploy deep learning applications for improving portability,...

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by...

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting...

For over a decade, NVIDIA's accelerated computing platform CUDA has revolutionized HPC and AI with applications ranging from COVID-19 research to autonomous machines. It's a unique legacy of innovation that's fueled by great technology and amazing people. Today the accelerated computing ecosystem is rapidly evolving and requires software compilation...

Minimum qualifications:Bachelor's degree or equivalent practical experience.4 years of experience in product management, consulting, co-founder or related technical role.2 years of experience building and shipping technical products.Experience developing or launching products or technologies within Machine Learning.Preferred qualifications:Master's degree in...

Senior Machine Learning Engineer On-site work model of 5 days in office/week in Sunnyvale, CA As a Senior Machine Learning Engineer, you will have the opportunity to build and lead a new team focused on developing cutting-edge machine learning solutions for our industry-leading Zero Trust security products.  You will be responsible for driving the design,...

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were...