2 ml systems engineer jobs at 1 company in Cameron, TX

PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
Node.js, Python, Elasticsearch, Redis
2mo
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Senior Machine Learning Engineer
Wichita or Waldorf or Lawton or Round Rock
OnsiteFull Time
Knowmadics: Develops AI-driven electronic warfare and situational awareness software platforms.
7+ YOE7-10 years in software or ML engineering; Python ML pipelines; deep learning libraries (e.g., PyTorch); C or systems programming; ETL with Kafka/Spark; ML for unstructured data; GPUs/CUDA; production model deployment; US citizenship and eligible for clearance.
Python, PyTorch, CUDA, Kafka, Spark, Docker, Kubernetes, Helm
4w
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Technical Staff, Storage Architect
Santa Clara or Round Rock
$264k-$342k/yr OnsiteFull Time
Dell Technologies
Dell TechnologiesNYSE: DELL: Provides information technology hardware, software, and services.
10+ YOE10+ years in storage architecture or distributed systems; expertise in scale-out file/object/parallel filesystems (NFS/S3), AI/ML workflows, and production-grade storage configurations; willingness to travel 20–30%.
Python, Bash, Linux, NFS, S3, Vector DB, KV Cache