NVIDIA

1 month ago

Senior Solutions Architect, Energy Sector

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Lead technical partnerships and design high-value, NVIDIA-powered solutions for the Energy sector (Oil & Gas, Renewables, Power Utilities) across AI, HPC, and edge deployments. Act as a trusted advisor to customers and partners, shaping architectures with GPU/Networking tech, and mentoring internal teams and developers through complex multi-stakeholder initiatives.

Location: Texas, United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Partner with industry and account teams to understand customer goals, strategies, and technical needs and deliver high-value solutions.
•Document knowledge by building samples, writing whitepapers/blogs/wiki, and guiding customers through complex problems.
•Lead integration of NVIDIA technology into AI, HPC, and enterprise GPU/network architectures for data centers and edge deployments.
•Strategically partner with lighthouse customers and industry solution partners to target our computing platform.
•Coordinate multiple initiatives, priorities, and implementations of new technology in sophisticated projects.

Pay and Benefits

Salary: USD 184,000 - 356,500

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•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 but not limited to Docker/Containers and Kubernetes.
•Experience with modern Deep Learning software architecture and frameworks.
•Strong written and oral communication skills with the ability to optimally collaborate with management and engineering.

Experience:8+ yearsEnergyAIHPCGPU

Education:Master's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:DockerKubernetesCUDAGPUDeep learningHPCEdge computingAI frameworks

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

Senior Solutions Architect, Energy Sector

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Location: Texas, United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Partner with industry and account teams to understand customer goals, strategies, and technical needs and deliver high-value solutions.
•Document knowledge by building samples, writing whitepapers/blogs/wiki, and guiding customers through complex problems.
•Lead integration of NVIDIA technology into AI, HPC, and enterprise GPU/network architectures for data centers and edge deployments.
•Strategically partner with lighthouse customers and industry solution partners to target our computing platform.
•Coordinate multiple initiatives, priorities, and implementations of new technology in sophisticated projects.

Pay and Benefits

Salary: USD 184,000 - 356,500

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•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 but not limited to Docker/Containers and Kubernetes.
•Experience with modern Deep Learning software architecture and frameworks.
•Strong written and oral communication skills with the ability to optimally collaborate with management and engineering.

Experience:8+ yearsEnergyAIHPCGPU

Education:Master's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:DockerKubernetesCUDAGPUDeep learningHPCEdge computingAI frameworks

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor