NVIDIA

4 weeks ago

Senior Solutions Architect, AI - Accelerated Physics

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead partnerships with universities and research institutes to co-create HPC and AI solutions on NVIDIA’s accelerated computing platform. Architect and optimize computational physics and engineering workflows, mentor researchers on AI-enabled simulations, and collaborate cross-functionally to align roadmaps. Travel up to 20% as needed to support academic collaborations and field deployments.

Location: California, United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Partner with research universities and institutes to co-create innovative HPC and AI solutions using NVIDIA’s accelerated computing platform
•Collaborate with engineering, product, and business teams to align NVIDIA’s technical roadmap with evolving strategies and complex workflows of the scientific and engineering research community
•Engage with developers and researchers to architect ground-breaking solutions in computational physics, multiphysics simulation, and engineering design exploration
•Help researchers move from high-fidelity simulation data to AI-enabled workflows, including surrogate models and differentiable simulation
•Profile and optimize the performance of scientific applications, AI training, and inference workloads on accelerated systems

Travel: Medium travel

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•8+ years of hands-on experience in accelerated computing and parallel computing with GPUs
•Experience porting and/or optimizing scientific or engineering applications targeting GPUs
•Strong programming and software design fundamentals, especially in Python and C++
•Familiarity with computational physics or engineering simulation workflows and numerical methods
•Excellent knowledge of AI at scale applied to scientific, simulation, or physics-based workloads

Experience:8+ yearsHPCComputational physicsAI for scientific computingGPU programmingResearch collaborations

Education:Master's in Computational Physics, Engineering, Computer Science, Applied Mathematics

Skills:CommunicationTeamworkProblem-solving

Tech Stack:PythonC++CUDAPyTorchJAXGPUGPU programmingProfilingDebugging

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

4 weeks ago

Senior Solutions Architect, AI - Accelerated Physics

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: California, United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Partner with research universities and institutes to co-create innovative HPC and AI solutions using NVIDIA’s accelerated computing platform
•Collaborate with engineering, product, and business teams to align NVIDIA’s technical roadmap with evolving strategies and complex workflows of the scientific and engineering research community
•Engage with developers and researchers to architect ground-breaking solutions in computational physics, multiphysics simulation, and engineering design exploration
•Help researchers move from high-fidelity simulation data to AI-enabled workflows, including surrogate models and differentiable simulation
•Profile and optimize the performance of scientific applications, AI training, and inference workloads on accelerated systems

Travel: Medium travel

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•8+ years of hands-on experience in accelerated computing and parallel computing with GPUs
•Experience porting and/or optimizing scientific or engineering applications targeting GPUs
•Strong programming and software design fundamentals, especially in Python and C++
•Familiarity with computational physics or engineering simulation workflows and numerical methods
•Excellent knowledge of AI at scale applied to scientific, simulation, or physics-based workloads

Experience:8+ yearsHPCComputational physicsAI for scientific computingGPU programmingResearch collaborations

Education:Master's in Computational Physics, Engineering, Computer Science, Applied Mathematics

Skills:CommunicationTeamworkProblem-solving

Tech Stack:PythonC++CUDAPyTorchJAXGPUGPU programmingProfilingDebugging

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