About the role
Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The Software Factory team is responsible for the developer build experience, making the process of developing, testing, and releasing software critical to Latitude's mission. Team members develop, maintain, and improve an end-to-end infrastructure pipeline for a distributed build environment, and are integral to Product Development efforts to adopt new tools and technologies into a hermetic, deterministic, and scalable build ecosystem. Inside the team we use and maintain the build tooling (bazel, cmake), write build and test authoring tools (starlark, python), manage build environments (docker, containers), leverage a distributed remote execution and caching system (buildfarm), and host CI/CD resources that developers interact with to test and land changes (jenkins).
What you'll do:
Work alongside dedicated build, network, and product engineers with decades of experience
Measure, inspect, and monitor the services which support builds to ensure continuous operation and generate high priority improvement definitions
Develop solutions for independent and integration-based service reliability risks
Debug across a wide range of service modalities to find and solve problems for developers and processes
Respond to scalability, configuration, and scheduling issues with high visibility within the team and engineering organization customer base
Provide application-level verification during dependent system maintenance periods, representing the continued ability to deliver software build services, working with support engineers from peer teams providing hardware and cluster orchestration capabilities
Assess new product designs as they apply to system utilization and requirements for build and CI
Identify gaps in observability for large scale distributed build infrastructure systems
What you'll need to succeed:
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 2+ years of relevant experience, Master's degree, or PhD
Knowledge of Distributed systems and storage hierarchies
Fluency in linux systems operation, bash and python scripting languages
Understanding of Distributed Service Deployments and Concepts
Nice to have:
High-Availability concepts and practices
Kubernetes definitions and deployments
Experience with Bazel or other Starlark-based build system
Java, C++ Language competencies and principles
SQL, Git/Github, Grafana domain knowledge
protobuf, gRPC, REST http semantics and protocol underpinnings
About the company
Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.