Data Infrastructure Engineer
3 weeks ago
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.
Our ideal candidate has strong proficiency in Python or similar languages and domain experience working with large-scale data and building scalable & reliable systems/data pipelines.
- We are looking for someone who can 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.
Benefits:
Nuro offers a competitive salary range of $167,200-$250,800 per year, based on experience and qualifications, as well as an annual performance bonus, equity, and a comprehensive benefits package.
Requirements:
- 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
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