Senior Telemetry & Observability Engineer
Senior engineer developing software for optical switching and datacenter infrastructure.
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88,000+ live jobsHybrid in Santa Clara·Full-time·Added 5 months ago
First posted 5 months ago, still open when we checked on 9 Oct
Full-time
Per the ad.
Hybrid
Office and home days — the ad has the split.
Have the right to work in Spain
iPronics doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Be near Santa Clara for hybrid days
No relocation package mentioned.
Have 8+ years of experience
Senior-level role.
Private health insurance
Per the ad: paid by the employer, or taken through flexible pay.
Flexible pay plan
Take part of your salary as tax-free benefits, per the ad.
🎯 What are we looking for?
8+ years in datacenter infrastructure, networking, or AI cluster architecture
Strong understanding of AI training & inference workloads
Deep knowledge of scale-up / scale-out architectures and fabric design
Experience benchmarking or optimizing distributed AI workloads
Experience designing or deploying large-scale compute environments
Ability to work closely with customer architecture teams
Background in optical networking or silicon photonics
Experience with cluster topology design and workload placement
Experience presenting to customers or at industry events
✨ What do we offer (actually):
Work at the forefront of AI infrastructure innovation
Direct impact on hyperscale and next-gen AI deployments
Highly technical and international environment
Private health insurance
401k plan
Flexible compensation
Your birthday off 🎂
Flexibility and autonomy
At iPronics, we are redefining intra-datacenter networking for the AI era with our Optical Network Engine - enabling full optical bandwidth switching for next-generation AI and cloud infrastructure.
We're looking for a Senior AI Infrastructure & Networking Solutions Architect to work at the intersection of customer architecture, AI workloads, and cutting-edge photonic networking.
💡 What will you do?
Engage with hyperscalers, neoclouds, and AI infrastructure leaders on next-gen cluster deployments
Translate AI workload and cluster requirements into system-level architectures
Design and develop reference architectures for large-scale AI cluster fabrics
Analyze workload communication patterns and optimize fabric/topology strategies
Lead benchmarking and performance modeling at cluster scale
Support early-stage architecture design integrating optical switching
Present architectures to customers, partners, and industry audiences
Feed real-world insights back into product roadmap and development