Senior/Staff Software Engineer, Nuro

• You have a degree in BS, MS.c or Ph.D, plus 4 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
• Engineering leadership: Experience setting team or project product and technical vision, timelines, and prioritization; being a Technical Lead, mentoring and support junior engineers
• 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

Desirable

• Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data
• The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure
• This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs
• Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment
• 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