Uber Logo

Uber

Sr Software Engineer - AV Labs

Posted 5 Hours Ago
Be an Early Applicant
In-Office
Sunnyvale, CA, USA
202K-224K Annually
Senior level
In-Office
Sunnyvale, CA, USA
202K-224K Annually
Senior level
Develop advanced autonomy algorithms for physical AI, including data mining, deep scene understanding, causal modeling of ego-vehicle behavior, and robust identification of complex driving edge cases. Deploy algorithmic solutions for real-world, safety-critical autonomous systems and help establish high technical standards within Uber’s AV Labs team.
The summary above was generated by AI
 

About the role and team 

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.

As a Senior Software Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest techniques that enable better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar.


Basic Qualifications:

  • 4+ years of working experience in software engineering.

  • Bachelor’s degree in Mathematics, Physics, Computer Science, Computer Engineering, or related fields.

  • Proficient in C++ and Linux environments.

Preferred Qualifications:

  • Experience in the Autonomous Driving domain.

  • Proven track record of deploying algorithms in safety-critical physical systems.

  • Master’s or PhD degree in Computer Vision, Game Theory, Robotics, or Machine Learning.

  • Familiarity with Python.

Responsibilities

For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 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.

HQ

Uber San Francisco, California, USA Office

Uber's a hybrid work environment and employees target spending 50% of their time in the office.

Similar Jobs

5 Hours Ago
In-Office
Sunnyvale, CA, USA
202K-224K Annually
Senior level
202K-224K Annually
Senior level
Logistics • Transportation • 3PL: Third Party Logistics
Develop firmware and low-level drivers for automotive components and autonomous vehicle sensors. Lead custom hardware bring-up, validation, deployment, and hardware-software co-design. Debug complex embedded systems using hardware tools, optimize sensor data pipelines, and ensure timing and network synchronization. Contribute to production lifecycle execution, embedded architecture, code quality, and team mentoring.
Top Skills: Automotive EthernetBare-Metal SystemsCC++CamerasCanCan-FdDevice DriversDspsEmbedded LinuxFirmwareFpd-LinkFreertosGmslGptpGpusI2CIeee 802.1AsIso 26262LidarLogic AnalyzersMisra C/C++NpusNvidia DriveOscilloscopesPciePpsPtpQualcomm Snapdragon RideRadarRtosSocsSpi
5 Hours Ago
In-Office
Sunnyvale, CA, USA
202K-224K Annually
Senior level
202K-224K Annually
Senior level
Logistics • Transportation • 3PL: Third Party Logistics
Develop autonomy algorithms and foundation models that extract semantic insights from complex driving data. Design scalable machine learning systems, manage sensor dependencies, optimize datasets through data processing and auto-labeling, and deploy models into production. Collaborate with platform, product, and security engineering teams while providing technical leadership. The role requires expertise in Python, Linux, modern ML frameworks, and preferably autonomous driving, safety-critical systems, C++, and high-performance computing.
Top Skills: Autonomous DrivingC++Computer VisionHigh-Performance ComputingLinuxMachine LearningPythonPyTorchRobotics
5 Hours Ago
In-Office
Sunnyvale, CA, USA
202K-224K Annually
Senior level
202K-224K Annually
Senior level
Logistics • Transportation • 3PL: Third Party Logistics
Develop autonomy algorithms that add semantic understanding to real-world driving data. Design onboard systems, manage sensor dependencies, define evaluation metrics, and build scalable production solutions for safety-critical autonomous vehicle systems. Collaborate with platform, product, and security engineering teams to deploy onboard systems.
Top Skills: Autonomous DrivingC++Computer VisionLinuxMachine LearningPythonRobotics

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account