Software Engineer II, Data Infrastructure - AV Labs

Posted 3 Days Ago
Sunnyvale, CA, USA
In-Office
171K-190K Annually
Mid level
Logistics • Transportation • 3PL: Third Party Logistics
We reimagine the way the world moves for the better.
The Role
Build and operate petabyte-scale data infrastructure for autonomous vehicle sensor and telemetry data. Develop high-throughput ingestion pipelines, query-ready datasets, storage layouts, schemas, indexes, and distributed batch workloads. Improve reliability, cost, and performance through observability, testing, alerting, and on-call ownership. Collaborate with data producers and consumers to resolve quality issues and safely deploy changes.
Summary Generated by Built In

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).

Responsibilities

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.

About Us

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.

Skills Required

  • 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, C++, or Go, with strong data structures and software design fundamentals
  • Hands-on experience with a distributed processing framework such as Ray, Spark, or Flink
  • Hands-on experience with columnar, object-storage-backed data formats and table formats such as Parquet, Apache Arrow, Iceberg, or Delta
  • Experience with observability tooling for batch systems, such as Prometheus and Grafana
  • 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, including ROS 2, MCAP, point clouds, or time-series telemetry
  • Experience running workloads on Kubernetes or a major cloud platform such as OCI, AWS, or GCP

Uber Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.

  • Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
  • Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
  • Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.

Uber Insights

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The Company
HQ: San Francisco, CA
21,000 Employees
Year Founded: 2009

What We Do

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.

Why Work With Us

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

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