Software Engineer, ML Data Infrastructure at Nuro · Mountain…

Summary: Nuro is a self-driving technology company focused on making autonomy accessible to all. The role involves designing and developing scalable data infrastructure for machine learning applications, including creating data pipelines, storage systems, and monitoring tools to support autonomous driving systems. Responsibilities: - Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation - Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics - Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system - Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines - Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping - Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels - Scale data annotation labels with applied State-of-the-art ML techniques Required Qualifications: - You have a degree in BS, MS.c or Ph.D, plus 1+ years of relevant work experience - Strong proficiency in Python or similar languages - Domain experience: Experience working with large-scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems - Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization - A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field Preferred Qualifications: - Strong proficiency in C++ or other high-performance low-level languages - Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL - Knowledge of data engineering, and its tooling and best practices - Knowledge of batch and streaming data processing, warehousing, and analytics solutions - Experience working with large-scale distributed data systems - Experience with system & framework design - Experience with data workflow orchestration platforms Required Skills: Python, Large-scale data systems, Data pipelines, System design, Data engineering, Batch data processing, Streaming data processing, Data warehousing, Data analytics, Distributed data systems, Data workflow orchestration Benefits: Annual performance bonus, Equity, Competitive benefits package