Distinguished Software Engineer

Walmart

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $169,000–$338,000 / yr
Posted: 9 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $158k

This role $254k

$86k most similar roles pay here $365k

This role pays more than 98% of similar roles. Most pay $135,000–$181,725 — the shaded band above. At the midpoint, this role pays about $254k versus about $158k for comparable roles.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 311 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 303 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Distinguished Software Engineer

Role Posting Log in to save

As a Distinguished Software Engineer at Walmart Global Tech, you will lead the design and development of advanced AI systems using Generative AI, LLMs, and RAG frameworks within a fast-paced entrepreneurial team. Your day-to-day responsibilities include architecting scalable solutions, integrating agentic frameworks, and mentoring engineering teams to enhance information retrieval and generation. You will work closely with fellow engineers and product groups to deliver highly recommended developer experiences and Gen AI solutions. Key skills required are expertise in Python, ML frameworks like PyTorch and TensorFlow, Hugging Face Transformers, and experience with cloud platforms such as GCP and Azure. Additionally, you should have a strong background in distributed computing, containerization, CI/CD pipelines, and hands-on engineering experience to build resilient distributed systems for large-scale retail operations.

Skills

Python PyTorch TensorFlow Hugging Face Transformers Agentic Frameworks RAG frameworks GCP Azure Kubernetes Docker CI/CD Generative AI LLMs Vector search technologies Java TypeScript REST Microservices

What you'll do

Design and develop generative AI models with a focus on RAG frameworks to enhance information retrieval.
Develop and optimize large language model (LLM)-based agents for complex reasoning and decision-making tasks.
Integrate external data sources like vector databases with LLMs to create dynamic, context-aware systems.
Architect scalable, distributed AI systems ensuring performance, fault tolerance, and disaster recovery capabilities.
Mentor junior engineers and drive technical direction for large-scale AI initiatives within the team.

What we're looking for

12+ years of experience in machine learning and software engineering, including expertise in Generative AI or LLMs.
Deep knowledge of Agentic Frameworks, RAG frameworks, vector search technologies, and knowledge grounding techniques.
Expertise in Python, ML frameworks (PyTorch, TensorFlow), and libraries like Hugging Face Transformers.
Proficiency in distributed computing, cloud platforms (GCP, Azure), and scalable architectures.
Strong hands-on engineering background with the ability to operate at both strategic and implementation levels.
Experience applying LLMs and agentic AI techniques to production systems.
Ability to mentor junior engineers and drive technical direction for large-scale AI initiatives.

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