3 software engineer gpu jobs at 3 companies in Kannapolis, NC
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Senior Specialty Software Engineer - AI Infrastructure
Charlotte, North Carolina, United States
HybridFull Time
Wells FargoNYSE: WFC: Global provider of banking, investment, and mortgage financial services.
4+ YOE4+ years specialty software engineering with 4+ years Python, 3+ years GPU-based AI/ML experience, REST API and Big Data (Spark,Hive,Kafka) experience; strong communication and risk/compliance awareness.
Python, Spark, Airflow, Django, React, Kubernetes, OpenShift AI, Vertex AI, DataProc, Kafka, REST, Dremio, Google Cloud Platform, Power BI, Run AI
Lowe'sNYSE: LOW: Operates a chain of retail home improvement and hardware stores.
4+ YOESenior AI Engineer with leadership in developing and operationalizing Physical AI systems; expertise in ML/DL, data platforms, MLOps, and cross-functional collaboration.
ML frameworks, GPU, CI/CD, Data pipelines, Kafka, Hadoop, BigQuery, Google Vertex AI, SQL, NoSQL, Computer Vision, Robotics
Hartford or Washington or Tampa or Atlanta or Boston or Charlotte or Trenton or New York or Philadelphia or Richmond
$150k-$180k/yrOnsiteFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
8+ YOEMinimum 8 years in software engineering, developer tools sales, or developer relations; Bachelor's in CS or related; deep knowledge of NVIDIA developer tools and enterprise coding assistant market; experience selling to engineering leadership.
GitHub Copilot, Amazon Q Developer, Google Gemini Code Assist, Cursor, Claude Code, Windsurf, Devin, CUDA, cuDNN, TensorRT, RAPIDS, Triton Inference Server, CUDA toolkit, AI Workbench, NeMo, Omniverse SDK