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# Software Engineer II, Data Infrastructure - AV Labs

- **Company:** Uber
- **Location:** Sunnyvale, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $171,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Apache HTTP Server, C++ (Programming Language), Data Infrastructure, Data Structures, Distributed Computing Environment, Python (Programming Language), Prometheus, Software Engineering, Parquet, Datadog, Grafana, Apache Spark, Indexer, Backend, Kubernetes, Information Technology, Code Testing, Apache Flink, Production Code, Oracle Cloud Infrastructure, Lidar
- **Published:** October 8, 2026
- **Apply:** https://dejobs.org/x/x/C7B19ABE26704F7B9FBA93E7D9CB7B6C/job/

## About the Role

* Bachelor's degree in Computer Science or a related technical field.
 * 3+ years of professional software engineering experience building data infrastructure or distributed backend systems.
 * Proficiency in Python (or C++/Go) with strong fundamentals in data structures and design.
 * Hands-on experience with a distributed processing framework (e.g., Ray, Spark, or Flink).
 * Hands-on experience with columnar, object-storage-backed data formats and table formats (e.g., Parquet, Apache Arrow, Iceberg, or Delta).
 * Experience with observability tooling for batch systems (Prometheus, Grafana).

Preferred Qualifications

 * Master's degree in Computer Science or a related field.
 * Experience tuning storage layouts, compaction, or indexing for read-path performance.
 * Experience with robotics or sensor data (ROS 2, MCAP, point clouds, or time-series telemetry).
 * Experience running workloads on Kubernetes or a major cloud (OCI, AWS, or GCP).

## Description

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match., You will work closely with senior engineers to design and operate this infrastructure end to end. You will write clean, production-grade code, own features from design through deployment, and help keep the platform reliable and efficient as data volume grows by orders of magnitude.

What You'll Do

 * Build high-throughput pipelines that turn raw vehicle recordings into query-ready datasets, and make them correct under retries, reprocessing, and backfills.
 * Design and tune how data is laid out, versioned, and indexed on object storage so reads stay fast as the lake grows.
 * Define and evolve schemas and data contracts for heterogeneous sensor and telemetry data.
 * Run large batch workloads on distributed compute, and improve their throughput, cost, and failure behavior.
 * Own the operational health of what you build: metrics, alerting, on-call, and well-tested code.
 * Work with the teams that produce and consume the data to resolve quality issues and roll out changes safely.