Software Engineer II, Data Infrastructure - AV Labs

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.

• 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).

For Sunnyvale, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.

You will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

Ready to Ride?

This isn’t the kind of place where you follow a playbook - it’s where you help write one. If you’re driven by impact, energized by challenge, and ready to shape how the world moves - we’d love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits. (https://jobs.uber.com/en/benefits/)