Senior Solutions Architect, Energy Sector

Nvidia

Confirmed live yesterday Trusted

Remote

Quick summary

Work type: Remote
Location: TX
Employment: Full-time
Posted: 141 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $198k

$142k $246k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $159,300–$235,750.

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, Energy Sector

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JOB TITLE: Senior Solutions Architect, Energy Sector The Senior Solutions Architect, Energy Sector joins the team to develop energy-specific applications and platforms demonstrating NVIDIA technology for Oil and Gas, Renewables, and Power Utilities. This role involves partnering with industry and account teams to understand customer goals, defining high-value solutions, and building targeted samples, whitepapers, and blogs. You will act as a technical advisor, integrating technology into AI, HPC, and enterprise GPU and networking architectures for datacenter and edge applications. Required skills include an MS or PhD in a relevant field, eight years of experience in data science or software development, and knowledge of parallel computing with GPUs, Docker, Containers, Kubernetes, and Deep Learning frameworks. You must possess domain experience in the energy industry to solve complex problems using machine learning and generative AI.

What does a Solutions Architect earn in Remote?

Median $220000 from 61 postings across 16 companies.

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Skills

CUDA GPU Kubernetes Docker Deep Learning Machine Learning HPC Generative AI NLP GPGPU Parallel Computing Data Science Networking Containers AI

What you'll do

Develop energy-specific applications and platforms using NVIDIA GPU and networking hardware.
Define and deliver high-value technical solutions that meet specific customer goals and strategies.
Create technical documentation including targeted samples, whitepapers, blogs, and wiki articles.
Integrate NVIDIA technology into AI, HPC, and enterprise GPU architectures for datacenter and edge applications.
Act as a trusted technical advisor to partners and customers regarding deep learning and data science.
Partner with lighthouse customers and industry-specific solution partners to target the computing platform.
Solve complex technical problems with customers through whiteboarding and direct technical engagement.

What we're looking for

MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
8+ years of work-related experience in data science or software development with 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.
Strong written and oral communication skills with the ability to collaborate with management and engineering.
Background in the energy industry or engaging with clients and partners involved in the energy field.
Strong time-management and organization skills for coordinating multiple initiatives and sophisticated projects.
CUDA programming and optimization experience (preferred).

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