7 network performance engineer jobs at 6 companies in Phelan, CA
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Network Engineer
Santa Ana, California, United States
OnsiteFull Time
Santa Ana Unified School District: Public school district providing K-12 education and student services.
5+ YOEPlan, maintain, and troubleshoot district network infrastructure; perform hardware repairs, install systems, train staff; high school diploma + 5 years of education/training/experience; valid California driver\u0002s license; CCNP desirable.
Servers, Switches, Routers, Firewalls, SANs, Microsoft
WorleyAustralian Securities Exchange: WOR: Global professional services for energy, chemicals, and resources sectors.
5+ YOE5+ years process engineering experience with pressure-relief and process safety expertise; ability to perform PSV sizing, relief/load and flare network analysis; proficiency with HYSYS/PRO-II and relief analysis tools; bachelor's in chemical engineering required.
HYSYS, PRO/II, iPRSM, PSPPM, Flare Network Analyzer, Computational Fluid Dynamics (CFD), Aspen Plus, Aspen PIMS, Microsoft Office Suite
Vast.ai: Decentralized marketplace for GPU cloud computing resources.
Expertise in systems and GPU engineering, GPU architectures, neural network performance, C++/CUDA/Python proficiency, and strong research background with publications preferred.
China Telecom Americas: Provides transpacific telecommunications and managed IT services for enterprises.
Master's in relevant field (or equivalent), strong knowledge of computer and telecommunication networks, excellent oral/written communication and organization skills, experience with transport/IP networks preferred, ability to respond on-call and perform physical tasks.
Irvine or Denver or Indianapolis or Grand Rapids or Lexington or Los Angeles or Louisville or Texas or San Francisco or United States
$218k-$225k/yrOnsiteFull Time
Trace3: Provides IT consulting and technology solutions for enterprise digital transformation.
12+ YOE5+ MgmtBachelor's in CS/EE or related; 12+ years enterprise infrastructure experience with 5+ years designing and implementing production-scale AI/ML/HPC (multi-rack GPU) and 5+ years people leadership; familiarity with GPU compute, high-performance networking, scale-out storage, Kubernetes/Slurm/Run:ai, and AI security; willingness to travel up to 50%.