Software Engineer - Planner Frameworks Pipeline

country: US all locations: [Foster City, CA San Francisco, CA] commitment: Full-time department: Software location: Foster City, CA team: Motion Planning & Control In this role, you will:: Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors Improve the ML training pipelines supporting the autonomous behavior org Qualifications: Bachelor’s degree in Computer Science or related field and 6+ years of industry experience Experience optimizing large-scale distributed systems for cost and efficiency Experience with AWS or similar providers Proficiency with Python and familiarity with C++ Bonus Qualifications: Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective Background in algorithmic optimization or performance investigation Experience with Ray.io, particularly Ray Core and Ray Data