NVIDIA

2 months ago

Senior Solutions Architect, Generative AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Senior Solutions Architect collaborating with cross-functional teams to define high-value Generative AI/LLM solutions, engaging with researchers and customers, and analyzing DL inference performance to optimize NVIDIA’s AI platforms.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Partner with other solution architects, engineering, product and business teams to define high-value solutions
•Dynamically engage with developers, scientific researchers, data scientists across technical areas
•Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform
•Work closely with customers to help them adopt and build solutions using NVIDIA technology
•Analyze performance and power efficiency of deep learning inference workloads

Travel: Low travel

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
•8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow
•Strong fundamentals in programming, optimizations and software design, especially in Python
•Strong problem-solving and debugging skills
•Excellent knowledge of theory and practice of Large Language Models and Deep Learning inference
•Excellent presentation, communication and collaboration skills
•Desire to be involved in multiple diverse and creative projects

Experience:8+ yearsAIGenerative AIDL inferenceGPU

Education:Bachelor's

Skills:PresentationCommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonPyTorchTensorFlowNVIDIA NeMo FrameworkNVIDIA Triton Inference ServerTensorRTTensorRT-LLMCUDA

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

2 months ago

Senior Solutions Architect, Generative AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Partner with other solution architects, engineering, product and business teams to define high-value solutions
•Dynamically engage with developers, scientific researchers, data scientists across technical areas
•Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform
•Work closely with customers to help them adopt and build solutions using NVIDIA technology
•Analyze performance and power efficiency of deep learning inference workloads

Travel: Low travel

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
•8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow
•Strong fundamentals in programming, optimizations and software design, especially in Python
•Strong problem-solving and debugging skills
•Excellent knowledge of theory and practice of Large Language Models and Deep Learning inference
•Excellent presentation, communication and collaboration skills
•Desire to be involved in multiple diverse and creative projects

Experience:8+ yearsAIGenerative AIDL inferenceGPU

Education:Bachelor's

Skills:PresentationCommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonPyTorchTensorFlowNVIDIA NeMo FrameworkNVIDIA Triton Inference ServerTensorRTTensorRT-LLMCUDA

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