Job Description
The role involves designing and developing large-scale data pipelines, storage systems, and analytics 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 data processing
- Create and implement storage systems for large volumes of evaluation and performance metrics
- Construct dashboards and reports to visualize evaluation results and system performance
- Develop and maintain continuous testing and monitoring systems for data integrity and pipeline resilience
- Develop data mining tools with machine learning techniques for data discovery in perception, behavior, and mapping
- Create data annotation tools to support labeling workflows for perception, mapping, and driving trajectories
- Scale data annotation labels using advanced machine learning techniques
Requirements
- A degree in BS, MS.c or Ph.D, plus 4 years of relevant work experience
- Strong proficiency in Python or similar programming languages
- Domain experience related to autonomous driving or data engineering
- Experience working with large-scale data and building scalable reliable systems data pipelines
- Ability to understand and design complex systems
- Engineering leadership experience including setting team or project product and technical vision, timelines, and prioritization
- Experience being a Technical Lead, mentoring and supporting junior engineers
- Technical excellence with the ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
Benefits & Perks
Compensation/salary range between $167,200 and $250,800 per year
Annual performance bonus
Equity
Competitive benefits package
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