Senior Solutions Architect, Industrial Robotics

Nvidia

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Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 78 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $211k

$155k $265k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $170,000–$251,937.

Based on 240 similar postings.

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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, Industrial Robotics

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The Senior Solutions Architect, Industrial Robotics serves as a technical bridge between industry teams, partners, and customers to support applications leveraging NVIDIA technology. You will partner with account teams to define and deliver high-value solutions, document technical knowledge through whitepapers and samples, and lead the integration of GPU and networking architectures into manufacturing use cases. The role requires expertise in robotics, humanoids, and AI domains, specifically involving VLA, VLM, Transformers, and Synthetic Data Generation. You will utilize technologies including Docker, Kubernetes, TensorFlow, PyTorch, and TRT, while working with hardware like Jetson and Thor. The position focuses on solving complex problems in AI, HPC, and deep learning software architecture for advanced applications deployed in both datacenter and edge environments.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

See salary data

Skills

AI Robotics Deep Learning Machine Learning GPU Programming Kubernetes Docker PyTorch TensorFlow Nsight Systems Transformers VLM VLA HPC Synthetic Data Generation Digital Twins TRT

What you'll do

Define and deliver high-value technical solutions that meet specific customer goals and strategies.
Develop targeted samples, whitepapers, blogs, and wiki articles to educate others.
Integrate NVIDIA technology into manufacturing use cases involving AI, HPC, and networking architectures.
Provide technical leadership for advanced applications in both datacenter and edge environments.
Partner with lighthouse customers and industry-specific solution partners to target computing platforms.
Solve complex technical problems directly with customers using whiteboarding and hands-on guidance.
Support customers and partners through technical engagements involving deep learning software and GPU programming.

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 software development and knowledge of parallel computing with GPUs.
Background working with modern application deployment practices, including Docker/Containers and Kubernetes.
Experience with modern Deep Learning software architecture and frameworks.
Experience supporting customers and partners in technical engagements.
Strong written and oral communication skills with the ability to collaborate with management and engineering.
Experience applying AI to robotics and humanoid use cases, such as VLA, VLM training, simulation, and digital twins (preferred).

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