Senior Solutions Architect, Robotics Infrastructure

Nvidia

Actively hiring
Remote (Us, Ca, Santa Clara, US) Posted 121 days ago $152,000–$241,500 / year
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At a glance

AI generated

TL;DR

Join our dynamic team as a Senior Solutions Architect to drive the deployment and scaling of NVIDIA’s Physical AI workloads in enterprise environments. You’ll collaborate closely with product management, engineering, and business teams to design Kubernetes-native infrastructures for distributed AI/ML tasks, focusing on robotics simulation, synthetic data generation, and multi-step model training. Your daily responsibilities include supporting customers in building scalable GPU-accelerated pipelines using cloud-native technologies and NVIDIA frameworks like OSMO and Dynamo across hybrid and multi-cloud environments. You will also optimize inference pipelines with tools such as TensorRT-LLM and vLLM while providing technical mentorship to partners implementing Physical AI at scale. Ideal candidates have extensive experience in solution architecture, deep expertise in networking, storage technology, workflow orchestration, modern DevOps practices, and hands-on knowledge of NVIDIA’s GPU Operator and MIG. Proficiency with robotics frameworks like ROS2 and familiarity with large-scale data curation techniques are also crucial for this role.

Skills

Kubernetes NVIDIA AWS Azure GCP MIG TensorRT-LLM vLLM SGLang Docker CI/CD GitOps IaC Observability ROS2 Isaac Lab Isaac Sim Cosmos Ray PostgreSQL Python Terraform NVIDIA GPU Operator REST gRPC

What you'll do

  • Support customers in building scalable GPU-accelerated pipelines using Kubernetes and NVIDIA frameworks.
  • Develop optimal architectures for scaling robotics workloads across hybrid cloud environments.
  • Collaborate with DevOps teams to optimize job scheduling and resource management in Kubernetes.
  • Accelerate inference pipelines using NVIDIA technologies like TensorRT-LLM and vLLM.
  • Provide technical mentorship to customers implementing Physical AI at scale.

What we're looking for

  • 5+ years of experience in Solution Architecture or Infrastructure Engineering with AI/ML systems deployment.
  • Deep expertise in scaling robotics workloads and optimizing GPU-accelerated pipelines using Kubernetes and NVIDIA frameworks.
  • Strong knowledge of networking, storage technology, workflow orchestration software, and modern DevOps practices.
  • Proficiency with robotics frameworks (ROS2) and NVIDIA simulation/AI platforms like Isaac Lab/Sim/Cosmos.
  • Experience deploying NVIDIA inference technologies and optimizing transformer networks for efficient job scheduling and cost management.

Market check

Salary context

This $152,000–$241,500 range sits above 47% of similar postings on FindRole.

Peer median band

$167,500–$248,100

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$162,000–$235,762

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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