Principle Physical AI Architect

Role: Principle Physical AI Architect

Location: Noida / Bangalore / Chennai /Pune

Role Purpose :

Turn bespoke builds into deployable products: reference architectures, IaC, security/safety baselines, SAT/UAT kits and documentation—aligned to GEM offers and NVIDIA-validated patterns; integrate accelerators like Vision X AI Edge, HyOctAIn and AI Force/digitalCOLLEAGUE where appropriate.

Key Responsibilities

• Standardize blueprint asset packs (diagrams, Helm/Terraform, Triton model packaging, performance baselines, runbooks, training & support guides).
• Define security & safety gates (IEC-62443, network segmentation, SBOMs, signed artifacts).
• Own BOMs & TCO (compute/cameras/sensors/robots), deployment playbooks and support readiness.
• Coordinate joint validation and co-sell packaging with NVIDIA vertical teams; ensure reuse across UVision/MVision programs.

Qualifications

• 10–15 years in productization/solutions packaging; Kubernetes/CI-CD; secure SDLC; experience with edge/CV/OT solutioning