Senior Solutions Architect, Physical AI Cloud

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 78 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k

This role $197k

$141k $254k

below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $159,400–$235,750 — the blue band above. At the midpoint, this role pays about $197k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, Physical AI Cloud

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The Senior Solutions Architect, Physical AI Cloud joins a team of innovators assisting enterprises in deploying robotics simulation, synthetic data generation, and multi-step model training. You will design and scale Kubernetes-native environments for distributed robotics workloads, translating customer requirements into optimized cloud-native architectures that improve scheduling, storage access, networking, and GPU utilization. Daily responsibilities include building GPU-accelerated Physical AI pipelines through agentic workflows and supporting data factories for ingestion, preprocessing, and simulation. You will utilize technologies including NVIDIA frameworks like OSMO, NIM, TensorRT-LLM, vLLM, SGLang, and Isaac Sim. Required expertise encompasses backend infrastructure, networking, storage, and workflow orchestration tools like Airflow or Argo. You will provide technical guidance on scaling multimodal model training and robot learning across hybrid cloud environments.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

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Skills

Kubernetes TensorRT-LLM vLLM SGLang Triton ROS2 Isaac Lab Isaac Sim Airflow Argo GitOps IaC Observability REST gRPC S3 NFS Lustre TCP/IP DNS

What you'll do

Design and scale Kubernetes-native environments for distributed robotics workloads.
Build scalable, observable, GPU-accelerated Physical AI pipelines using agentic workflows and NVIDIA frameworks.
Support the development of Physical AI data factories for ingestion, preprocessing, and synthetic data generation.
Translate customer requirements into optimized cloud-native architectures to improve GPU utilization and networking.
Accelerate distributed inference using NVIDIA technologies like NIM, TensorRT-LLM, vLLM, and SGLang.
Provide technical guidance and mentorship to customers implementing Physical AI at scale.
Deploy and operate Kubernetes-based platforms for distributed GPU and AI workloads.

What we're looking for

BS in Computer Science, Computer Engineering, or a related field, or equivalent experience.
5+ years of experience in Solution Architecture or Infrastructure Engineering advancing AI/ML systems to production.
Experience scaling Robotics workloads including multimodal model training, inference, robot learning, and simulation.
Hands-on experience designing, deploying, and operating Kubernetes-based platforms for distributed GPU and AI workloads.
Expertise in networking, storage technology, workflow orchestration, modern DevOps practices, and orchestrating efficient GPU workloads.
Excellent communication skills to convey technical concepts to diverse audiences.
Hands-on experience with robotics frameworks (e.g., ROS2) and NVIDIA simulation and AI platforms (preferred).
Experience deploying NVIDIA inference technologies using acceleration techniques like quantization (preferred).

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