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Urgent! Senior Staff Software Engineer , Data Platform Job Opening In Sunnyvale – Now Hiring Uber

Senior Staff Software Engineer , Data Platform



Job description

**About the Role**

Uber's Batch Data Platform powers the company's most critical decision-making, analytics, and AI-driven intelligence.

We are evolving from traditional data processing toward a **next-generation Data Intelligence Platform--** one that unifies batch, streaming, and multimodal data into a cohesive, AI-ready foundation.

As a Senior Staff Engineer, you will design and drive the architecture behind Uber's **Elastic Convergent Compute** , **Unified Semantic Layer** , and **Self-Evolving Knowledge Platform** , enabling real-time insights, trustworthy AI agents, and intelligent business automation at a global scale.

What the Candidate Will Do ----

+ Architect and evolve Uber's **Multi-Modal Data Platform** to unify batch, streaming, and AI compute into one elastic, intelligent fabric.
+ Partner with AI and Data Agent teams (e.g., QueryCopilot, DataIQ, SODA) to operationalize **Agentic Data Intelligence** , bridging human validation with autonomous reasoning.
+ Drive Uber's next-generation **Self-Evolving Knowledge Platform** - transforming how knowledge, SOPs, and organizational intelligence are captured, contextualized, and evolved.

---- Basic Qualifications ----

+ Proven **experience** designing and building large-scale **distributed data and AI infrastructure systems** , spanning batch, streaming, and model-serving environments (e.g., Spark, Flink, Ray, Presto, Iceberg, Hudi, or similar).
+ Deep understanding of **data + AI convergence** , including how compute fabrics, vector databases, and model-serving platforms integrate with data pipelines and semantic layers.
+ Proven experience **leading cross-functional engineering initiatives** that improve reliability, cost efficiency, and developer velocity across hybrid data and AI ecosystems.
+ Strong programming background (Java, Scala, Python, or Go) with solid foundations in distributed systems, performance tuning, and storage architecture.

---- Preferred Qualifications ----

+ Expertise in **data intelligence architectures** - unified compute fabrics, semantic modeling, and multimodal data processing (structured, semi-structured, unstructured).
+ Experience designing **AI Infrastructure at scale** - including model training/inference pipelines, embedding management, or retrieval-augmented generation (RAG) systems.
+ Hands-on work with **observability, data freshness, and quality frameworks** (SLO/SLA-driven data reliability).
+ Demonstrated ability to **lead platform modernization** efforts, mentor teams, and influence long-term technical strategy across multiple orgs.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.

You will also be eligible for various benefits.

More details can be found at the following link https://www.uber.com/careers/benefits.
Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform


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