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Walmart

Sells groceries and essentials in stores and online

Distinguished Software Engineer

Software EngineeringConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USAIn-person

About the Job

Requirements

  • At least 15 years of experience designing and developing highly scalable distributed applications and platforms.
  • A distinguished track record architecting and operating large-scale, cloud-native distributed systems for search, recommendations, personalization, or advertising serving hundreds of millions of users.
  • Proven ability to set technical direction across multiple teams and organizations, influence without authority, and drive adoption of shared architectures and standards.
  • Demonstrated success developing senior technical talent and elevating engineering practices across a large organization.
  • Ability to communicate complex technical strategy clearly to executive audiences and provide deep technical guidance to engineers.
  • Deep hands-on experience with semantic and hybrid search engines such as Vespa, Elasticsearch, OpenSearch, or Solr, including tensor ranking, multi-phase ranking, and combining lexical BM25 with dense vector retrieval.
  • Experience with approximate nearest neighbor techniques such as HNSW, IVF, and product quantization, and libraries such as FAISS, ScaNN, or Milvus; dense and late-interaction retrieval models such as bi-encoders, two-tower models, and ColBERT; and multilingual embedding models for cross-market search.
  • Experience with learning to rank using LambdaMART, XGBoost, or LightGBM; neural and cross-encoder rerankers; query understanding including intent classification, query rewriting, spell correction, and entity recognition; and relevance evaluation using NDCG, MRR, and human judgment programs.
  • Experience with candidate generation and ranking architectures, sequential and session-based models such as SASRec, BERT4Rec, and transformers, graph-based recommenders, real-time user and context features, and contextual bandits.
  • Production experience with large language models for query understanding, conversational and agentic shopping, and content generation; retrieval-augmented generation; fine-tuning with LoRA or distillation; large language model serving and optimization with vLLM, TensorRT-LLM, or Triton; agent frameworks such as LangGraph; and large language model evaluation, guardrails, and cost management.
  • Experience with PyTorch and TensorFlow; distributed training with Ray or Horovod; feature stores such as Feast; model lifecycle tooling such as MLflow, Kubeflow, or Vertex AI; low-latency online inference; and monitoring models for drift and quality.
  • Experience with batch and streaming data pipelines using Spark, Kafka, and Flink; orchestration with Airflow; lakehouse and warehouse platforms such as BigQuery, Delta Lake, or Iceberg; and data quality, lineage, and service-level agreement ownership.
  • Experience with large-scale A/B testing, interleaving for ranking evaluation, variance reduction techniques such as CUPED, and online and offline metric alignment.
  • Experience with Kubernetes, containerized microservices, and cloud platforms such as Azure, Google Cloud Platform, or Amazon Web Services; continuous integration and continuous delivery; observability; resilience engineering; and programming in Python, Java, Scala, Go, or C++.
  • Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or a related area and six years of experience in software engineering or a related area; alternatively, eight years of experience in software engineering or a related area.
  • Knowledge of implementing Web Content Accessibility Guidelines 2.2 AA standards, assistive technologies, and digital accessibility best practices is described as part of the ideal candidate profile.

Responsibilities

  • Define and own the multi-year technical strategy and reference architecture for International Search & Personalization, aligning data, machine learning, and platform investments to business and customer outcomes across markets.
  • Architect next-generation AI-native discovery, including large-language-model-powered query understanding, semantic and hybrid retrieval, generative and agentic shopping experiences, and real-time personalization, balancing quality, latency, and cost at global scale.
  • Set architectural direction for multi-tenant, multi-market platforms so new markets, languages, and use cases launch on shared foundations rather than bespoke builds.
  • Establish organization-wide engineering standards for system design, machine learning lifecycle and MLOps, data quality and lineage, model evaluation, responsible AI, observability, and resilience, and uphold those standards through architecture and design reviews.
  • Lead resolution of complex cross-cutting technical challenges, including critical incidents, performance and cost bottlenecks, and platform modernization, driving root causes toward systemic fixes.
  • Mentor and grow Principal and Senior engineers, building a deep technical leadership bench and a culture of craftsmanship, experimentation, and continuous learning.
  • Partner with engineering, product, data science, and business leaders to shape roadmaps, frame build-versus-buy and platform-versus-product decisions, and communicate technical tradeoffs to executive audiences.
  • Represent Walmart International in enterprise architecture forums, influence shared Walmart Global Tech platforms, and contribute to Walmart's external technical reputation through patents, publications, and industry engagement.

Desired Qualifications

  • A master's degree in computer science, computer engineering, computer information systems, software engineering, or a related area and four years of experience in software engineering or a related area.
  • Experience building multi-tenant or multi-market systems, including multilingual search, localization, and market-specific catalog and assortment handling.
  • Background creating inclusive digital experiences, including knowledge of Web Content Accessibility Guidelines 2.2 AA standards, assistive technologies, and integrating digital accessibility into products and services.

About the Company

Walmart

Sells groceries and essentials in stores and online

Walmart sells groceries, household essentials, clothing, and electronics through stores and online marketplaces for consumers around the world. Its everyday low price model combines large purchasing volumes with distribution networks that move goods to stores and customer homes. Shoppers can browse online, collect orders at a nearby store, or request delivery, while third-party merchants use its marketplace and fulfillment services to reach customers. The group earns revenue from merchandise sales, memberships, advertising, and services, and also operates pharmacies, optical centers, and digital payments businesses. Walmart opened its first discount store in 1962 and is headquartered in Bentonville, Arkansas.

Company size
10,001+
Company stage
IPO
Headquarters
Bentonville, AR
Founded
1962

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