
Distributed Systems and Infrastructure Engineer - Self Driving
UATG is hiring systems engineers who have good attention to detail and experience building a variety of infrastructure solutions to scale. Travel to various locations may be required. Automate cloud and data center infrastructure provisioning and management to scale massive systems supporting self-driving development. Support autonomy development across a wide range of functional teams in disparate regions to further the UATG self-driving mission. Maintain availability and uptime SLAs for developer-facing and vehicle-facing services. Maintain and support large-scale batch processing development pipelines on CPU and GPU. Architect the future of infrastructure supporting self-driving cars at world-scale. Execute large engineering projects with full autonomy.
Experience with traditional infrastructure configuration management and provisioning technologies
Prior experience programming in C/C++, Ruby, Python, Java, or Go
Experience deploying infrastructure in public cloud environments (Amazon AWS, Google Cloud, etc.)
Experience with storage technologies like Lustre, GlusterFS, S3
Able to work with technical and non-technical stakeholders in cross-functional roles and projects
Minimum 3-5 years supporting infrastructure in large-scale environments
Chef
Puppet
CloudFormation
SaltStack
Tensorflow
Ansible
Vagrant
Caffe
Pytorch
Packer
Terraform
Spinnaker
Process Improvement
Verbal communication
Detail Oriented
written communication
Problem-Solving
According to JobzMall, the average salary range for a Distributed Systems and Infrastructure Engineer - Self Driving in 50 33rd St, Pittsburgh, PA 15201, USA is between $87,650 and $124,800 per year.
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Uber Technologies, Inc. is an American multinational transportation network company offering services that include peer-to-peer ridesharing, ride service hailing, food delivery, and a bicycle-sharing system. The company is based in San Francisco and has operations in over 785 metropolitan areas worldwide.

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