Nuro

Senior/Staff Software Engineer, ML Data Infrastructure

Nuro$193K — $352K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Degree in BS, MS.c, or Ph.D. with 4+ years of relevant experience
  • Proficient in Python or similar programming languages
  • Experience with large-scale data and building scalable systems/data pipelines
  • Demonstrated engineering leadership with technical vision and mentoring experience
  • Ability to enforce technical standards and best practices across the organization

Responsibilities

  • Design and develop comprehensive batch and streaming data pipelines for various evaluation use cases
  • Implement a storage system for handling large volumes and diverse performance metrics
  • Create dashboards and reports that highlight ML components' improvements and regressions
  • Maintain continuous testing and monitoring systems for data integrity and pipeline resilience
  • Implement data mining tools using ML techniques for autonomy data discovery
  • Develop data annotation tools to support quality perception and mapping labels
  • Scale data annotation processes with advanced ML techniques

Benefits

  • Annual performance bonus
  • Equity options
  • Comprehensive benefits package
Full Job Description
About the Role

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.

About the Work
  • 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

About You
  • 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

Bonus Points

  • 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

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

About Nuro

Nuro is a technology company that develops autonomous delivery vehicles. The company was founded in 2016 by two former Google engineers, Dave Ferguson and Jiajun Zhu. Nuro's vehicles are designed to transport goods, rather than people, and are being used by companies such as Kroger and Domino's Pizza for deliveries. The company has raised over $1 billion in funding and is valued at over $5 billion.
Learn more about Nuro
Size
1,000 employees
Industry
Founded
2016

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