Distinguished Software Engineer

Walmart

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $169,000–$338,000 / yr
Employment: Full-time
Posted: 130 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k

This role $254k

$115k $362k

below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $138,500–$253,500 — the blue band above. At the midpoint, this role pays about $254k versus about $196k 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 825 open roles on FindRole.

Listed pay typically runs $121,000–$242,000 across 473 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Distinguished Software Engineer

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JOB TITLE: Distinguished, Software Engineer The Distinguished, Software Engineer joins the Walmart Global Technology Platform team to build foundational infrastructure and scalable AI systems. This role involves architecting, developing, and deploying advanced Generative AI solutions, specifically focusing on RAG frameworks and agentic frameworks for knowledge grounding and multi-step reasoning. You will design distributed systems with fault tolerance, develop detailed design specifications, and build MVPs into shippable products. Key responsibilities include mentoring engineers, troubleshooting production issues, and integrating external data sources like vector databases. Required technical skills include Python, Golang, Java, or TypeScript, alongside ML frameworks like PyTorch and TensorFlow, and libraries such as Hugging Face Transformers. You will utilize Docker, Kubernetes, and CI/CD pipelines to manage cloud-native infrastructure across GCP and Azure to solve complex retail device and data platform challenges.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

Skills

Generative AI LLMs RAG Agentic Frameworks Python Golang Java Type script PyTorch TensorFlow Hugging Face Transformers Kubernetes Docker CI/CD GCP Azure Vector Databases micro-services Distributed Systems REST

What you'll do

Design, develop, fine-tune, and deploy Generative AI models using RAG frameworks to enhance information retrieval.
Develop and optimize LLM-based agents for multi-step reasoning, knowledge grounding, and automated decision-making.
Integrate external data sources and vector databases with LLMs to build dynamic, context-aware systems.
Architect scalable, distributed AI systems with a focus on performance, fault tolerance, and disaster recovery.
Develop detailed design specifications and build MVPs into shippable products to validate requirements iteratively.
Build highly resilient distributed systems capable of operating across large fleets of retail devices with remote observability.
Drive technical direction for large-scale AI initiatives and mentor junior engineers on best practices.
Troubleshoot high-impact business and production issues while providing insights on containerization and CI/CD pipelines.

What we're looking for

12+ years of experience in machine learning or software engineering.
2+ years of experience in Generative AI or LLMs.
Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or a related area.
8 years of experience in software engineering or a related area (if no degree is held).
Strong experience with Agentic Frameworks, RAG frameworks, vector search technologies, and knowledge grounding techniques.
Expertise in Python, ML frameworks (PyTorch, TensorFlow), and libraries like Hugging Face Transformers.
Strong backend programming experience in Python, Golang, Java, or TypeScript.
Proficiency in distributed computing, cloud platforms (GCP, Azure), and scalable architectures.

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