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We are seeking a talented Backend Software Engineer to help develop and roll out the next generation of our data compute infra to support autonomous driving. The Data Platform builds a scalable compute platform that is used throughout the company, enabling a diverse set of teams to access data, extract meaningful automated metrics out of the data, and perform various ad-hoc analyses on the data. We deal with data on the Petabyte scale and provide critical functions to improve the development of a reliable AV by allowing various researchers and engineers to understand how the AV performs various tasks and scenarios in real world or simulated environments. The Data Compute Infra team is responsible for building the infra to perform extraction of information from the data and to support parallel computing of the data for our ML team. What You'll Be Doing Design, build and maintain scalable data processing solutions in the cloud infra. Write high quality, maintainable code Assist with high-level system design, and code reviews Communicate with stakeholders and team leads to identify system requirements Take a strong sense of ownership and responsibility for mentoring. What We're Looking For Experience with Docker, Kubernetes Experience with distributed systems design and architecture Experience with Infrastructure Monitoring Experience working in cross-functional development teams Experience working with microservices Experience with large scale compute Experience with AWS services and solutions Strong written and oral communication skills Comfortable working in a fast-paced, continuous delivery environment Strong verbal and written communication skills to effectively work with various stakeholders, report insights, and rally support towards new initiatives and processes Bonus Points (not required) Experience with Spark or Ray Experience with distributed systems design and architecture Experience with Infrastructure Monitoring Experience working in cross-functional development teams Experience working with microservices Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Facebook, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
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