We build infrastructure and tools that power metrics for autonomous vehicles and delivery robots. Our goal is to shorten the feedback loop: make it straightforward to develop, run, and use metrics at scale. Metric calculations are often complex compute graphs (multiple languages) with heavy compute; across millions of miles and simulations, they produce terabytes of results. A key part of the job is choosing storage layouts and schemas that keep inserts efficient and reads fast.
About the RoleYou will design, develop, and operate the platform for metrics: data models and storage, scalable pipelines, and a developer-friendly framework for writing, testing, and shipping metrics. The role includes close collaboration with metric authors and with metric users—development, analytics, and QA—and ensuring reliable end-to-end deliveryof metric results.
What You’ll Do- Own the metrics platform: clear schemas, storage/layouts for efficient inserts and fast reads, simple versioning.
- Build and maintain the framework for writing/running metrics (interfaces, examples, local run, CI/compat checks).
- Create a test system for metrics and pipelines (unit / contract / regression on synthetic and sampled data).
- Operate the compute and storage paths in production; monitor, debug, and keep the system stable and cost-aware.
- Partner with metric authors and with development/analytics/QA to plan changes and land them safely.
- Python in production, including async (e.g., asyncio, aiohttp, FastAPI).
- Strong SQL (JOINs, window functions, CTEs); ability to read plans and speed up slow queries.
- Data structures & algorithms—know when O(nlogn)O(n \log n)O(nlogn) matters and choose the right structures.
- Experience with databases: PostgreSQL, ClickHouse; understanding OLAP vs. OLTP trade-offs.
- Workflow orchestration experience (Airflow / Argo / Prefect / Dagster—any is fine).
- Data libs & validation: NumPy, pandas, Pydantic (or equivalents).
- Containers & orchestration: Docker, Kubernetes.
- Experience building web services (Django / FastAPI / Flask—stack flexible).
- C++ exposure (reading, small changes, or components in the compute graph).
- Infrastructure for ML-adjacent metrics/evaluation.
- Parquet & object-storage layout/partitioning; Kafka/task queues; basic observability (logs/metrics/traces).
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
Top Skills
What We Do
Avride is a leading developer in the autonomous vehicle and delivery robot industry.
Our dynamic team, composed of a few hundred engineers develops and operates autonomous cars and delivery robots across the globe, shaping the future of mobility and logistics.
At Avride, we are committed to making the roads safer and more accessible for everyone. At the core of our philosophy is the belief in the transformative power of technology. Every product we develop, every test we conduct, and every service we launch is anchored in our vision of creating a safer and more sustainable world with help of cutting-edge technologies and breakthrough solutions
