Job Description
The role involves designing and developing large-scale data pipelines, storage systems, and tools to support the training, evaluation, and validation of autonomous driving systems, with a focus on machine learning data infrastructure and system reliability.
Key Responsibilities
- Design and develop large-scale batch and streaming data pipelines for evaluation purposes
- Create and implement storage systems for large volumes and diverse evaluation metrics
- Construct dashboards and reports to present evaluation results and compare ML system performance
- Develop and maintain testing and monitoring systems to ensure data pipeline integrity and resilience
- Develop data mining tools using ML techniques for data discovery in perception, behavior, and mapping
- Create data annotation tools to support labeling for perception, mapping, and driving trajectories
- Scale data annotation labels using advanced ML techniques
Requirements
- A degree in BS, MS, or Ph.D. in Computer Science, Electrical Engineering, or a closely related field, plus 4 years of relevant work experience
- Strong proficiency in Python or similar programming languages
- Experience working with large-scale data and building scalable reliable systems and data pipelines
- Ability to understand and design complex systems
- Experience setting team or project product and technical vision, timelines, and prioritization
- Experience as a Technical Lead, mentoring and supporting junior engineers
- Technical excellence and ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
Benefits & Perks
Compensation/salary range between $193,930 and $352,290 depending on experience and qualifications
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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