AI Systems Engineer III – Scalable GPU Backend

Walmart Global Tech

Bentonville (AR)

On-site

USD 90,000 - 180,000

Full time

12 days ago
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Benefits offered by this job

401(k) match
Stock purchase plan
Paid maternity and parental leave
PTO
Health plans
Incentive awards

Job summary

Walmart Global Tech is seeking a Software Engineer to design AI-first systems, focusing on agentic AI, high-performance data/compute frameworks, and scalable services. You will integrate LLMs/agents, orchestrate pipelines with Ray, and accelerate data science workloads with RAPIDS while delivering robust APIs and SDKs.

The role blends strong software engineering with practical ML systems exposure and a passion for performance, reliability, and developer experience.

Qualifications

  • Bachelor's degree in CS/Engineering or equivalent experience.
  • 4+ years building production backend or platform services (AI/ML context preferred).
  • Proficiency in Python; also Go/Java/C++ for performance services.
  • Experience with distributed frameworks: Ray, Spark, or Dask.
  • Experience with RAPIDS and GPU-aware programming.
  • Service frameworks: FastAPI/Flask; Kubernetes and Docker.
  • Strong data structures, algorithms, concurrency, networking, and systems design.

Responsibilities

  • Build agentic AI services and integration with internal systems and APIs.
  • Design orchestration, memory, tooling, evaluation, and guardrails for workflows.
  • Collaborate with DS/MLE to productionize models behind stable APIs/SDKs.
  • Develop GPU-accelerated data pipelines and optimize end-to-end performance.
  • Create reliable microservices for training/inference and real-time decisioning.
  • Implement observability, fault tolerance, and auto-scaling.

Skills

Python
Go/Java/C++
Ray
Kubernetes
FastAPI/Flask
Dask

Education

Bachelor's degree in CS/Engineering

Tools

Ray
Spark
Dask
RAPIDS
Kubernetes
Docker

Job description

Walmart Global Tech is seeking a Software Engineer to design AI-first systems, focusing on agentic AI, high-performance data/compute frameworks, and scalable services. You will integrate LLMs/agents, orchestrate pipelines with Ray, and accelerate data science workloads with RAPIDS while delivering robust APIs and SDKs.

The role blends strong software engineering with practical ML systems exposure and a passion for performance, reliability, and developer experience.

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