Solutions Architect, Industrial Robotics

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k

This role $197k

$139k most similar roles pay here $270k

This role pays less than 57% of similar roles. Most pay $174,500–$251,937 — the shaded band above. At the midpoint, this role pays about $197k versus about $213k 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 1392 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1041 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Solutions Architect, Industrial Robotics

Role Posting Log in to save

As a 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 collaborate with account teams to understand customer goals, develop high-value solutions, and create technical content such as whitepapers, blogs, and sample code. The role involves integrating technology into manufacturing use cases involving AI, HPC, and enterprise architectures at the datacenter and edge. You will utilize technologies including Docker, Kubernetes, TensorFlow, PyTorch, TensorRT, and Nsight Systems while working with models like Vision Transformers. Required expertise includes robotics, humanoids, VLM, VLA, synthetic data generation, and parallel computing. You will solve complex problems involving deep learning software architecture and deployment for advanced applications in the industrial sector.

What does a Solutions Architect earn in California?

Median $235750 from 52 postings across 9 companies.

See salary data

Skills

AI Machine Learning Deep Learning Robotics GPU TensorFlow PyTorch Kubernetes Docker Transformers VLM VLA HPC Nsight Systems Digital Twins Parallel Computing

What you'll do

Partner with account teams to identify customer goals and technical requirements for high-value solutions.
Develop and deliver technical solutions integrating NVIDIA technology into manufacturing use cases involving AI and HPC.
Create technical content including samples, whitepapers, blogs, and wiki articles to educate others.
Solve complex technical problems directly with customers during whiteboard sessions and technical engagements.
Act as a technical bridge between internal developers, partners, and customers across various industry segments.
Integrate NVIDIA GPU and networking architectures into applications for both datacenter and edge environments.
Support the deployment of robotics and humanoid use cases using VLM, VLA, and synthetic data generation.
Manage multiple initiatives to implement new technologies into complex projects for lighthouse customers and partners.

What we're looking for

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

Save