Software Engineer II, Data Infrastructure - AV Labs

Uber; Sunnyvale (CA); In loco; USD 171.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Bonus program

Equity award

401(k) plan

Benefits

Descrizione del lavoro

Uber is seeking a Software Engineer II to build the data infrastructure for AV Labs, ingesting and indexing petabyte-scale multimodal sensor data from the fleet. You will design scalable pipelines, manage schemas, and own end-to-end quality and reliability of data systems.

You will work with senior engineers to deploy production-grade code, optimize batch workloads, and maintain observability while handling rapidly growing data volumes across camera, lidar, radar, IMU, GNSS, and telemetry

Competenze

• Bachelor's degree in CS or related field.
• 3+ years of software engineering experience building data infrastructure or distributed backends.
• Proficiency in Python or C++/Go with solid data structures fundamentals.
• Hands-on experience with a distributed processing framework (Ray, Spark, or Flink).
• Experience with columnar storage formats (Parquet, Arrow, Iceberg, or Delta).
• Experience with observability tools for batch systems (Prometheus, Grafana).

Mansioni

• Build high-throughput pipelines turning raw vehicle recordings into query-ready datasets.
• Design and tune data layout, versioning, and indexing on object storage for scalable reads.
• Define and evolve schemas for heterogeneous sensor and telemetry data.
• Run large batch workloads on distributed compute, improving throughput and cost.
• Own operational health: metrics, alerts, on-call, and well-tested code.
• Collaborate with data producers/consumers to resolve quality issues and deploy safely.

Conoscenze

Python

C++

Go

Data pipelines

Formazione

Bachelor's degree in Computer Science

Master's degree in CS (preferred)

Strumenti

Ray

Spark

Flink

Parquet

Descrizione del lavoro

About the Role

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.

We are seeking a Software Engineer II to build the data infrastructure for AV Labs: the systems that ingest, store, and index petabyte-scale multimodal sensor data (camera, lidar, radar, IMU, GNSS, and vehicle telemetry) from the fleet.

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.

Basic Qualifications

• 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).

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.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.