Uber Engineering

Engineering @Uber, from practice to people.
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[Uber Engineering @UberEng]

Are you at #CVPR2026? 🗻Drop by the @Uber AV Labs booth (#647) to learn more about our work accelerating the AV ecosystem.

Learn more about our AV Labs team here: https://t.co/XjySylQYqE

[Uber Engineering @UberEng]

How do you protect data at scale? Uber’s File Semantic Analyzer uses GenAI to semantically classify and summarize file content, boosting security and cutting false positives.

Check it out in our latest blog: https://t.co/KNuXnPTVWG

#UberEngineering #AI #SecurityEng

[Uber Engineering @UberEng]

Learn how Uber modernized artifact storage using a managed cloud platform and a proxy to reduce operational risk, control egress costs, and scale build infrastructure.

🔗 https://t.co/coaEbkJnnM

#UberEngineering #DistributedSystems #Caching #Modernization

[Uber Engineering @UberEng]

AI agents can take powerful actions, but can you prove who acted and why? Here’s how Uber built agent identity and end-to-end provenance for secure, auditable tool calls.

🔗 https://t.co/u7yRJwKlpV

#UberEngineering #AgenticAI

[Uber Engineering @UberEng]

Learn how Uber deployed a deep transformer model with graph data pipelines to solve real-time traffic forecasting, improving route quality and arrival times for millions of customers worldwide.

Check out our latest blog: https://t.co/BrbRC6IJLm

#UberEngineering #DeepLearning

[Uber Engineering @UberEng]

What do scheduling TV ads, shipping crates, and Uber incentives have in common? They’re all multiple knapsack problems.

See how we engineered a scalable solution with our new system, Tarot, in our latest blog.

🔗 https://t.co/o5PEl5tVjx

#UberEngineering #MachineLearning

[Uber Engineering @UberEng]

Moving millions of compute cores to Kubernetes without dropping a single request was no small feat. Go behind the scenes on the @KubernetesPod with Uber Staff Engineer Lucy Sweet (@int_underflow).

👇 Link below.

#UberEngineering #Kubernetes

[Kubernetes Podcast from Google @KubernetesPod]

This episode we speak to Lucy Sweet. Staff Engineer @Uber and lead for the @kubernetesio Node Lifecycle WG.

Lucy shares Uber 5 Millions cores on #k8s story at scale and why it's always DNS 😃

📃 https://t.co/4ZdOJF9bzb
🔊 https://t.co/WMJExlQBuc

[Uber Engineering @UberEng]

What if every PM had a fast first-pass reviewer before a PRD reached the review room? We built an AI PRD Evaluator at Uber to surface blind spots early, uncover prior artifacts, and give product reviews higher signal.

Read more: https://t.co/sxo2TGGS6K

#Uber #AIForPMs

[Uber Engineering @UberEng]

With over 2 million cores, 1% efficiency is worth millions. See how Uber tuned Go's runtime stack to boost CPU utilization for a service by 10%.

Read More: https://t.co/F5vLcQcPWz

#Uber #UberEngineering #StackAllocation

[Uber Engineering @UberEng]

Discover how Uber Engineering uses Ansible® to automate configuration management for its global enterprise network.

Read More: https://t.co/SSfFfjVtpB

#Uber #UberEngineering

[Uber Engineering @UberEng]

Last week, Uber Engineering hosted a Seattle Systems meetup. We explored topics like analyzing code merge safety at scale and discussed the physical limits of the internet.🌟

It was great to see Seattle's vibrant systems engineering community in action! 🙌

#UberEngineering

[Praveen Neppalli @praveenTweets]

Excited to bring Uber & Uber Eats into Claude! Browse restaurants, check fare ranges, see ETAs, and complete trips or orders seamlessly.

A strong example of AI simplifying everyday use. Great team effort to make it fast, reliable, and intuitive. 🚀 @UberEng

[Uber Engineering @UberEng]

Discover how Uber AI built an ML validation system to automatically catch critical ID swaps and position jumps in video bounding box annotations, streamlining data quality for object tracking.

Read More: https://t.co/QosSlvqaMk

#Uber #UberEngineering #MachineLearning

[Uber Engineering @UberEng]

It was a big week for Uber Engineering at hashtag #ICSE2026. Read the award-winning research and learn how we’re scaling our testing infrastructure below.

AutoCover: Scaling Test Coverage: https://t.co/3CHOP9oNjM

AI-Driven Mobile Chaos Engineering: https://t.co/7OuzZCNWYs

[Uber Engineering @UberEng]

Meet Odin’s hybrid core allocation: CPU when you need it, elastic sharing when you don’t—built for efficient scaling.

Read More: https://t.co/QX83W9lagA

#Uber #UberEngineering #Odin

[Uber Engineering @UberEng]

Uber Eats scaled its homefeed discovery engine by transitioning to transformer-based generative recommenders and a modernized ML infrastructure to deliver real-time, personalized recommendations to millions.

Read More: https://t.co/vioLS2nQSO

#UberEngineering #MachineLearning

[Uber Engineering @UberEng]

Discover how Uber uses OpenSearch™’ gRPC™/Protobuf APIs for modern search and ingestion, and learn about our contributions to the gRPC/Protobuf transport in the OpenSearch project.

Read More: https://t.co/Te35BPSCeI

#Uber #UberEngineering #OpenSearch

[Uber Engineering @UberEng]

Explore how we optimized Petastorm to cut deep learning training time by 6× and eliminated hidden randomness at Uber.

Read More: https://t.co/TzZKsgKQoI

#Uber #UberEngineering #MachineLearning

[Uber Engineering @UberEng]

Large-scale test migrations aren't impossible—they're automatable. Discover how Uber pulled off one of the largest JUnit migrations ever, transforming over 1.25 million lines of test code in just a few months.

Read more: https://t.co/gU99d7hfLk

#UberEngineering #JUnit