You will be part of Automotive System Performance Team in Bangalore that is responsible for hardware validation and optimizing the Machine Learning (ML) performance on Snapdragon Automotive and ADAS chipsets. Minimum Qualifications: 8 years of industry System and Software experience in the following: • Knowledge of Linux and/or QNX infrastructure and development tools, understanding of kernel vs user space, basic knowledge of compilers, running scripts, git source code control, Gerrit workflows • Hands-on experience debugging hardware, software and embedded systems. Additional skills in the following areas are preferred: • Hands-on experience running neural network models with Deep Learning frameworks such as SNPE, Keras, Caffe/Caffe2, TensorFlow, PyTorch, etc Experience debugging and evaluating performance/accuracy a plus. Required: Bachelor's, Computer Engineering and/or Computer Science and/or related Preferred: Master's, Computer Engineering and/or Computer Science and/or related Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm's toll-free number found here for assistance.

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that. Our technology helped people put a man on the moon.

Ripple is looking for a Staff Data Engineer to help build scalable Data infrastructure. You will be part of the effort to enable Ripples to democratize data by developing self-serving and curated data models through financial Hub. Data is core to everything that Ripple does today and you will design and mentor the data engineers and data Ops pods that will be at the center of data. Our data science research direction, machine learning strategy, and analytics will rely on the infrastructure you build. As a hands-on leader for this team,You will incorporate best practices, learn about and leverage new technologies, work with an experienced team of engineers, and be part of a team that has a lot of fun along the way!

Once, on a crisp cloudless morning in early fall, a machine learning engineer left her home to seek the answers that she could not find, even in the newly-optimized Google results. She closed her laptop, put on her backpack and hiking boots, and walked quietly out her door and past her mailbox, down a dusty path that led past a stream, until the houses around her gave way to broad fields full of ripening corn. She walked past farms where cows grazed peacefully underneath enormous data silos, until the rows of crops gave way to a smattering of graceful pines and oaks, and she found herself in a forest clearing, headed into the woods. She went deeper through the decision trees and finally stopped near a data stream around midday to have lunch and stretch her legs. The sun made its way through the sky and eventually, she walked further, out of the forest.

The Payment Intelligence group is responsible for optimizing each of the billions of dollars of transactions processed by Stripe each year on behalf of our users, in order to maximize successful transactions while minimizing payment costs and fraud. We own products like Radar from end to end and work across the technical stack: from machine learning over our users' data, to integrating ML intelligence, building performant and scalable systems and services, serving real-time predictions as part of Stripe's payment infrastructure, to building user-facing product surfaces like dashboards for insights, and controls to optimally manage users' business. We're looking for people with a strong background and passion in building successful backend systems, services and APIs that deliver impactful product values to our customers. You are comfortable in dealing with changes. You love to take initiatives, and bias towards action.

Futurewei Technologies Inc. (DBA Huawei R&D) is a leading global information and communications technology solutions provider. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 170 countries, serving more than one third of the world's population. Futurewei has over 150,000 employees, approximately 70,000 of which are engaged in Research & development.

Futurewei Technologies Inc. (DBA Huawei R&D) is a U.S. Based branch of Huawei Technologies Co. Ltd., the leading global information and communications technology solutions provider. Established in 1988, Huawei Technologies is a private high-tech enterprise specializing in research and development, the production and marketing of communications equipment, and providing customized network solutions for telecom carriers in fixed, mobile, and data communications networks. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 170 countries, serving more than one third of the world--s population.