Senior Solutions Architect, Industrial Robotics

NVIDIA

Senior Solutions Architect applying NVIDIA AI, GPU, and networking platforms to industrial robotics and manufacturing. Supporting customers, partners, and engineering teams with advanced datacenter and edge solutions.

Posted 8/10/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in integrating NVIDIA technology into AI and robotics applications, with a strong focus on customer engagement and technical solution delivery. Proficient in modern deep learning frameworks and GPU programming, with a proven ability to document and share knowledge effectively.

Highest-signal resume keywords

Robotics ExperienceAI Domain ExpertiseDeep Learning FrameworksGPU ProgrammingCustomer Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

RoboticsArtificial IntelligenceDeep LearningParallel ComputingSynthetic Data GenerationVLAVLMTransformersTensorFlowPyTorch

Soft Skills

Strong Communication SkillsCollaborationTime ManagementOrganizationAnalytical Skills

Tools & Technologies

DockerKubernetesNVIDIA Isaac SimNsight SystemsTRT

Industry Keywords

Machine LearningDigital TwinsSimulationHPCEnterprise GPU

Tech Stack

Tools & technologies

DockerKubernetesPyTorchTensorflow

About the role

Key responsibilities & impact

Engage with customers, partners, and NVIDIA software engineers to support applications and platforms leveraging NVIDIA technology.
Partner with industry and account teams to understand customer goals, strategies, and technical needs.
Define and deliver high-value technical solutions.
Document knowledge and teach others through targeted samples, whitepapers, blogs, wiki articles, and customer whiteboarding.
Integrate NVIDIA technology into Manufacturing use cases involving AI, HPC, enterprise GPU, and networking architectures across datacenter and edge applications.
Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA’s computing platform.
Support customers and partners in technical engagements.

Requirements

What you’ll need

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 VLA, VLM, Transformers, and Synthetic Data Generation software development.
Knowledge of parallel computing with GPUs.
Experience with Docker/Containers and Kubernetes.
Experience with modern Deep Learning software architecture and frameworks.
Strong written and oral communication skills.
Ability to collaborate effectively with management and engineering.
Experience supporting customers and partners in technical engagements.
Strong time-management and organization skills.
Strong analytical and problem-solving skills.
Experience applying AI to robotics and humanoid use cases, including VLA, VLM training, simulation, and digital twins.
Experience with TensorFlow, PyTorch, TRT, and Vision Transformer models.
Experience with NVIDIA Isaac Sim and Isaac Lab.
Experience with GPU programming, design practices, and profiling tools such as Nsight Systems.
Deep Neural Network research and development experience with specialized domains, or Machine Learning research and development experience with industry data.
Published record of thought leadership in a technical area of simulation, robotics, data generation, AI, or Machine Learning.

Benefits

Comp & perks

Equity
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