Senior Solutions Architect, Industrial Robotics

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$184,000–$287,500 / yr
Posted
33 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $236k
$154k most similar roles pay here $302k

This role pays more than 72% of similar roles. Most pay $171,450–$254,000 — the shaded band above. At the midpoint, this role pays about $236k versus about $213k for comparable roles.

Based on 239 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, Industrial Robotics

As a Senior Solutions Architect, Industrial Robotics, you will serve as the technical bridge between internal teams, partners, and customers to support applications leveraging GPU and networking hardware. You will partner with account teams to define high-value solutions for manufacturing use cases involving AI, HPC, and enterprise architectures at the datacenter and edge. Your daily responsibilities include developing targeted samples, writing whitepapers or blog posts, and solving complex technical problems on whiteboards. The role requires expertise in robotics, humanoids, and AI domains such as VLA, VLM, Transformers, and synthetic data generation. You will utilize tools including Docker, Kubernetes, TensorFlow, PyTorch, and TensorRT while working with NVIDIA hardware like Jetson and Thor. Required skills include GPU programming, profiling with Nsight systems, and deep knowledge of neural network research and development.

What does a Solutions Architect earn in Remote?

Median $231100 from 71 postings across 13 companies.

See salary data

What you'll do

  • Define and deliver high-value technical solutions that meet specific customer goals and requirements.
  • Develop targeted samples, whitepapers, blogs, and wiki articles to educate others on NVIDIA technology.
  • Integrate NVIDIA hardware and software into manufacturing use cases involving AI, HPC, and enterprise networking.
  • Provide technical expertise for applications deployed in both datacenter and edge environments.
  • Partner with lighthouse customers and industry-specific partners to promote the computing platform.
  • Solve complex technical problems directly with customers through whiteboarding and collaborative sessions.
  • Act as a technical bridge between internal engineering teams, partners, and end customers.

What we're looking for

  • BS, MS, or PhD in Robotics, Engineering, Computer Science, or equivalent experience.
  • 8+ years of work-related experience in robotics, humanoids, and AI domains.
  • Experience with modern application deployment practices including Docker/Containers and Kubernetes.
  • Experience with modern Deep Learning software architecture and frameworks.
  • Strong written and oral communication skills to collaborate with management and engineering.
  • Experience supporting customers and partners in technical engagements.
  • Experience applying AI to robotics and humanoid use cases, such as VLA, VLM training, simulation, and digital twins (preferred).
  • Experience with NVIDIA edge lineup, GPU programming tools like Nsight systems, or published research in simulation and robotics (preferred).

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