Software Engineer II

Uber

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Posted: 39 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $155k

$104k most similar roles pay here $209k

This listing doesn't post a salary. Most similar roles pay $128,825–$180,818.

Based on 240 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 170 open roles on FindRole.

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At a glance

TL;DR · Software Engineer II

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As a Software Engineer II on Uber’s Conversational Assistants team in Sunnyvale, California, you will be responsible for developing scalable and reliable chatbots that enhance customer support experiences by integrating large language models (LLMs) with Assistant building platforms. Your day-to-day tasks include leading migrations from NLP-based to GenAI-based chatbots, adding new features, and collaborating across engineering teams to implement changes in Uber’s ecosystem. You will work closely with product managers and scientists to translate requirements into platform features, ensuring high-quality code through rigorous testing and reviews. The ideal candidate has experience in scalable system architecture design, microservice development using gRPC or REST APIs, and familiarity with machine learning technologies like GenAI and LLMs. Additionally, knowledge of dialog management systems such as Google Dialogflow and cloud platforms like AWS is preferred.

Skills

Golang Python Java Scala REST gRPC Kafka AWS Git LLM GenAI Dialogflow Docker CI/CD PostgreSQL

What you'll do

Design and implement scalable chatbot architectures for customer support.
Lead migrations from NLP-based to GenAI-based chatbots within Uber’s ecosystem.
Develop new features and capabilities for existing GenAI chatbots to enhance user experience.
Collaborate with engineering teams to integrate LLM prompts into assistant platforms.
Ensure compliance of automated assistants with Uber's business policies while maintaining personalization.

What we're looking for

Bachelor’s degree in Computer Science or related field.
Experience designing scalable system architectures and developing production-quality services.
Proficiency in microservice designs, gRPC or REST API development.
Strong problem-solving skills and ability to work collaboratively in multi-disciplinary teams.
Expertise in at least one programming language (Golang, Scala, Java) and scripting language (JavaScript, Python).
Experience with machine learning, GenAI, LLM technologies, and building conversational assistants.
Solid understanding of algorithms, data structures, software design principles, and version control systems.

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