Responsibilities:
Build the Metrics Visualization Hub (Full-Stack): Design and ship an end-to-end web application — front-end dashboards through back-end services — that makes autonomous-vehicle product metrics, route analytics, and pipeline health easy to explore for engineering and operations teams.
Deliver Low-Latency Data Access: Build a caching and pre-aggregation layer to reduce latency in result fetching
Optimize the Metrics Calculation Pipeline: Profile, refactor, and scale the back-end pipelines that compute product metrics, operation summaries, and route extractions — improving throughput, controlling cost, and strengthening the correctness of derived measures.
Develop the Metrics Validation Process: Build and automate validation tooling that cross-checks pipeline outputs against source-of-truth references, flags discrepancies, and gates bad data before it reaches downstream consumers — turning manual triage into a repeatable, alert-driven workflow.
Required Skills:
Full-Stack Web Development: Strong proficiency building modern web applications end-to-end — front-end frameworks (e.g., React/TypeScript) and back-end services/APIs (e.g., Python/FastAPI) — with an eye for clean, responsive, data-rich interfaces.
Backend & Data Pipeline Development: Solid programming fundamentals (e.g., Python, SQL) and experience designing, building, and maintaining data processing pipelines and the services.
Performance & Scalability: Ability to analyze code, system architecture, and data pipelines to improve execution speed and resource efficiency, including caching and pre-aggregation strategies for low-latency data access.
Preferred Skills:
Working with Large Datasets: Experience handling and processing high volumes of structured and time-series data, with strong SQL skills and familiarity with relational and/or columnar databases.
Big Data Processing: Hands-on experience with distributed processing frameworks such as PySpark for large-scale data pipelines.
Domain Exposure: Familiarity with autonomous vehicles, robotics, or other sensor/telemetry-heavy data environments.
Skills Required
- Solid understanding of Large Language Models
- Strong proficiency in Python
- Experience building ETL data pipelines
- Core understanding of Retrieval-Augmented Generation
Plus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Plus and has not been reviewed or approved by Plus.
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Leave & Time Off Breadth — Unlimited PTO in addition to company holidays and flexible work arrangements are offered, indicating broad time-off flexibility. This setup signals strong support for taking time away from work.
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Healthcare Strength — Tiered medical, dental, and vision options allow employees to select coverage that fits their needs. This breadth of core health coverage aligns with a comprehensive benefits approach.
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Wellbeing & Lifestyle Benefits — Daily catered lunches at key offices and company-sponsored professional development add meaningful day-to-day and growth-oriented perks. These offerings enhance overall wellbeing and workplace experience.
Plus Insights
What We Do
Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai
