A Senior Data Engineer responsible for designing and building the foundational data infrastructure and tools to support autonomy research and development workflows, including large-scale data pipelines, feature stores, labeling infrastructure, and diagnostics for machine learning and simulation projects.
Key Responsibilities
Design and build foundational data infrastructure and tools for autonomy research and development workflows
Develop large-scale data ingestion pipelines
Create and maintain structured feature stores
Implement labeling infrastructure for data annotation
Develop scene search and data discovery tools
Perform performance diagnostics for machine learning and simulation workflows
Requirements
Design and build the foundational data infrastructure and tools that power autonomy research and development workflows, including large-scale ingestion pipelines, structured feature stores, labeling infrastructure, scene search and data discovery tools, and performance diagnostics for machine learning and simulation workflows.
Experience in designing and developing large-scale data ingestion pipelines and structured feature stores.
Proficiency in building and maintaining labeling infrastructure, scene search, and data discovery tools.
Ability to develop performance diagnostics for machine learning and simulation workflows.
Relevant experience in data engineering, with a focus on supporting autonomous driving research or similar fields.
Strong technical skills in data infrastructure development, including familiarity with data pipelines, feature stores, and diagnostic tools.
Ability to collaborate with research and development teams to support autonomy workflows.
Include links to relevant open-source contributions or technical project write-ups with your application.
Benefits & Perks
Salary range between $180,000 and $270,000 per year for California-based roles
Medical insurance
Dental insurance
Vision insurance
Paid time off including holiday pay and sick time
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