Position Summary...What you'll do...As a Staff Engineer on the Walmart Space Planning and Execution team, you will build the intelligent platforms that autonomously design and optimize physical space across our massive retail network. You will build the ML frameworks, model runtimes, and agentic workflows that govern macro space (floor plans), micro space (planograms/modulars), and featured spaces across our stores (Sales Floor, Backroom) and depots. Operating at the intersection of platform engineering and applied AI, your work will directly enable customer-centric initiatives focused on execution speed, hyper-localized assortments, and unprecedented revenue growth. We offer the agility of a startup paired with the unmatched scale of the enterprise, giving you the ultimate sandbox to revolutionize spatial intelligence and physical retail.
What you'll do:- Architect Enterprise Platforms: Apply cloud-native architecture principles (microservices, containers, automation) to deliver scalable, resilient infrastructure, including feature stores, model runtimes, and CI/CD pipelines.
- Build AI-Driven Systems: Build AI-driven applications and intelligent automation features using languages such as JavaScript, TypeScript, Python, Java, Rust, Dart, and C++. You will integrate AI agents and ML components that support multi-step reasoning for complex space planning workflows.
- Own the Full Lifecycle: Drive the full software development lifecycle: coding, testing, CI/CD deployment, observability, monitoring, and maintenance. You will conduct system design reviews to validate feasibility, ensure quality, and confirm alignment with architectural best practices.
- Serve as a Technical North Star: Mentor engineers and junior leaders across teams, fostering technical growth, psychological safety, and continuous learning. You will influence architectural and technical decisions, advocating for solutions that are secure, maintainable, modular, and scalable.
- Drive Cross-Functional Execution: Manage cross-functional leadership and stakeholder alignment, translating ambiguous business challenges into actionable insights and determining rollout strategy.
What you'll bring: - Deep Technical Depth: You possess expert-level proficiency in modern programming languages (e.g., Python, Java, Rust, C++) and apply design patterns and principles to ensure robust solutions.
- Platform & Infrastructure Pedigree: You lead infrastructure and tooling development to accelerate engineering productivity, enhance developer experience, and support platform goals.
- AI/ML Integration Experience: You integrate AI agents and ML components that support multi-step reasoning and automation using platforms like GitHub Copilot.
- Architectural Judgment: You excel at system design reviews to validate feasibility, ensuring cohesive execution and alignment with roadmap milestones.
- A Builder's Mentality: You take pride in your work, have a strong sense of ownership, and are excited about solving complex challenges and digging into data for insights.
- Empathetic Leadership: You are comfortable influencing others, leading teams, managing stakeholders, getting buy-in from leadership, and communicating clearly.
Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
The annual salary range for this position is $110,000.00 - $220,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area.
Option 2: 6 years' experience in software engineering or related area.
Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Primary Location...1700 Se 5th St, Bentonville, AR 72716, United States of America
