Responsible for the front-end research and development of Multimedia Arch. Experience in solving CSS/JS multi-browser compatibility problems and front-end performance optimization.

Proficiency in front-end technologies such as HTML, CSS, JavaScript, and experience with modern frameworks like React, Angular, or Vue.js. Design and implement user-friendly, responsive, and visually appealing front-end interfaces using HTML, CSS, and JavaScript frameworks.

On the software only side, our edge AI processing algorithms can replace the front end of a traditional camera ISP pipeline to correct the optical defects of lenses, perform joint demosaicing, deconvolution, denoising, and super-resolution, and run on a phone’s GPU, Neural Engine or similar, to give ultra-detailed high fidelity images in near-real-time.

You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.

Front-End Technologies: Advanced knowledge of HTML, CSS, JavaScript, and front-end frameworks like Angular, React, or Vue.js. Our analytics revolution leverages AI, machine learning, and cutting-edge visualization to reveal insights that empower industries.

You will lead the development effort on advanced machine learning accelerator systems, own end to end delivery. develop advanced machine learning accelerator systems, own end to end microarchitecture and design aspects.

A minimum of 15 years of management experience, working in Front End wafer Fab management positions and has had at least 10 years of experience in a Front End Factory or has experience in management of Front End managing engineers, maintenance, equipment engineering, process engineering and operators.

MAIN SKILLS – Experience working in an AWS Cloud environment, Proficiency in Python, Strong experience in ML frameworks and libraries such as PyTorch or TensorFlow, Experience with FEA software (e.g., Abaqus) and scripting, including element technologies and material models, Solid understanding of deep learning architectures such as CNN, RNN, and transformers, Hands-on experience with large-scale data processing and analysis.

The Federal Aviation Administration (FAA) NextGen Project Is Working With NASA Ames To Explore Using Modern Data Analytics And Machine Learning (ML) Technologies In Enabling An Info-centric Digital National Airspace System (NAS.

Senior Scientific Machine Learning Software Engineer - PhysicsNVIDIA’s deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies.

FEA Engineer / Software Engineer / Machine Learning Engineer. Title: Machine Learning Engineer (Software Engineer III), Req# 33807056. Experience with FEA software (e.g., Abaqus) and scripting.

The ideal candidate will have a strong understanding of both FEA and modern deep learning techniques, hands-on experience in designing and training Client models, and a proven record of deploying models in relevant applications such as computer vision.

We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc.

Hands-on experience with data ETL processes and tools, as well as web development frameworks – front-end (e.g. JS, React, Vue, Dash, Streamlit) and back-end services (e. We are looking for a skilled & experienced Software Engineer to join our AV Infrastructure & DataOps, focusing on critical automation tools and pipelines for our autonomous vehicle software stack.

Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.