Senior Software Engineer
Core
Build and maintain the platform infrastructure for training, validating, and deploying neural networks for autonomous driving and robotics.
Role type
Staff Software Engineer (ML Infrastructure & DevOps)
Builds
Productionized ML workflows, distributed data-processing pipelines, multi-tenant data lake ecosystem, and internal APIs for ML operations.
Domain
Autonomous driving and robotics / Machine Learning Operations (MLOps)
Deliverable
production ML models | infrastructure
Required skills
DevOps and infrastructure processes, infra-as-code, microservice deployment, software networking, build tool management, agentic workflows for programming, data-heavy role experience
Preferred skills
Experience with agentic workflows for programming and problem solving
Technologies
Cloud infrastructure, distributed data-processing pipelines, in-house multi-tenant data lake ecosystem, CI/CD tools
Responsibilities
Develop and iterate on platform infrastructure for training, validating, and deploying neural networks; Deploy cloud infrastructure and build distributed data-processing pipelines; Develop on an in-house multi-tenant data lake ecosystem; Build internal APIs to serve data and trigger workflows; Build CI/CD process and other internal tools to enhance developer productivity
Seniority
Staff, significant influence over business and technical innovation
