Distributed Systems and Infrastructure Engineer, Self-Driving - San Francisco
Systems Engineering & Testing, Advanced Technologies Group in San Francisco, CA
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
About the Role
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.
What You'll Do
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
What You'll Need
Prior experience programming in C/C++, Ruby, Python, Java, or Go
Experience using Docker to create portable applications or services across thousands of servers in multiple regions
Experience with traditional infrastructure configuration management and provisioning technologies such as Puppet, Chef, Ansible, Saltstack, Vagrant, Packer, Terraform, Cloudformation, etc.
Experience architecting, building, and supporting distributed systems for batch processing and cluster computation on Mesos or Kubernetes
Experience deploying infrastructure in public cloud environments (Amazon AWS, Google Cloud, etc.)
Experience with storage technologies like Lustre, GlusterFS, S3
Experience with Hadoop technologies such as HDFS, Spark, Cassandra and Hive
Prior experience supporting or knowledge of Postgres, MySQL, DynamoDB, and Amazon RDS
Skilled in isolating, documenting, and tracking issues systematically
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
Bonus Points if
You’ve worked with Bazel, Buck, or other complex build system for large software projects
You’re curious about Tensorflow, Pytorch, Caffe and other libraries for ML
You’ve built Machine Learning infrastructure to scale
About the Team
The UATG Infrastructure Platform is dedicated to providing a consistent development experience across all software development use cases at UATG. In addition, we are architecting the future of infrastructure to support our expanding self-driving fleet of vehicles.
At Uber, we believe technology has the power to make transportation more efficient, accessible, and safer than ever before. Self-driving technology has the potential to make these benefits an everyday reality for our customers, but it’s not going to happen overnight. Building best-in-class self-driving technology will take time, and safety is our priority every step of the way. Operating inclusively and transparently, while displaying responsible behavior in a structured development are critical to safety. We at ATG seek candidates who will role model these values.
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.