6 дней назад
Software Engineer III (AI Systems)
90 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer III (AI Systems) (Agentic AI/Ray/RAPIDS): Building production-grade AI services, distributed data and compute pipelines, and scalable APIs for agentic workflows with an accent on GPU acceleration, reliability, and performance engineering. Focus on integrating LLMs and agents, optimizing CPU/GPU workloads, and delivering secure, observable microservices and developer tooling.
Location: Bentonville, Arkansas, United States; in-person collaboration at Walmart campuses is emphasized.
Salary: $90,000–$180,000 annual base salary for Bentonville. Additional performance bonuses and stock may apply.
Company
Walmart Global Tech develops software, data, cybersecurity, and service solutions that support Walmart's global retail operations and serve hundreds of millions of people.
What you will do
- Build agentic AI services covering planning, tool use, retrieval, memory, evaluation, feedback loops, and guardrails.
- Productionize LLM, GNN, and embedding-based models behind stable APIs and SDKs.
- Develop GPU-accelerated data pipelines with RAPIDS and distributed workflows with Ray or similar frameworks.
- Design reliable microservices for training, inference, vector indexing, and real-time decisioning.
- Implement observability, fault tolerance, autoscaling, CI/CD, testing, and rollback strategies for AI services.
- Integrate feature stores, vector databases, artifact registries, and model catalogs while enforcing security, privacy, and compliance.
Requirements
- Bachelor's degree in computer science, engineering, or a related area with 2 years of software engineering experience, or 4 years of relevant software engineering experience.
- 4+ years of experience building production backend or platform services, preferably in AI/ML contexts.
- Strong Python skills plus Go, Java, or C++ for performance-oriented services.
- Experience with Ray, Spark, or Dask; RAPIDS and GPU-aware programming concepts; FastAPI or Flask; Kubernetes; and Docker.
- Strong foundations in data structures and algorithms, concurrency, networking, and systems design.
- Ability to collaborate with product, platform, and data science or machine learning engineering teams, document systems, and mentor peers.
Nice to have
- Production experience with agent frameworks, tool-use patterns, retrieval, memory components, and evaluation harnesses.
- Experience with vector databases such as FAISS, Milvus, pgvector, or Pinecone, and with feature stores.
- Experience with GPU scheduling, autoscaling, performance profilers, vLLM, Triton Inference Server, ONNX Runtime, or TensorRT.
- Master's degree in computer science, engineering, or a related field.
- Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Culture & Benefits
- Full-time employment with health, vision, and dental coverage.
- 401(k) match, stock purchase plan, performance incentives, and possible stock compensation.
- PTO, sick leave, parental leave, family care leave, bereavement leave, and other paid leave programs.
- Company-paid life insurance, short- and long-term disability coverage, discounts, and adoption or surrogacy reimbursement.
- Walmart-paid education benefits may cover tuition, books, and fees for eligible programs.
- People-led, tech-empowered environment with training and opportunities to work on large-scale retail technology.
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