Senior Solutions Architect – Simulation Solutions for Edge Computing jobs in United States
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NVIDIA · 3 days ago

Senior Solutions Architect – Simulation Solutions for Edge Computing

NVIDIA is seeking an outstanding Senior Solutions Architect to contribute to the development of forward-thinking simulation and AI platforms. In this role, you will drive technical innovation in simulation, 3D reconstruction, generative models, and inference optimization, enabling the next generation of autonomous simulation.

Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Operate as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI-enabled solutions
Actively prototyping to develop deep expertise in NVIDIA Cosmos, Omniverse Platforms, NuRec and related technologies (APIs, USD, NIMs, Blueprints) through hands-on technical integration
Implement intricate technical solutions with partners—defining objectives, architecture, landmarks, and delivery plans while contributing code samples, architecture diagrams, and hands-on engineering support
Provide technical enablement resources like workshops, reference architectures, and integration guides to speed up adoption and standard processes while collaborating with engineering and leadership teams across partner organizations to identify goals, resolve technical challenges, and align on architecture and solution direction
Advocate for partner technical needs within NVIDIA—providing actionable feedback to influence product roadmaps and future technology direction while supporting product launches and go-to-market activities, ensuring seamless integration and technical excellence in customer-facing materials
Guide research and implementation in 3D reconstruction, integrating innovations like Gaussian splatting into autonomous simulation pipelines

Qualification

AI platform development3D reconstructionGenerative AIPython programmingC++ programmingDevOps toolsDeep Learning frameworksComputer visionHighly motivatedCommunicationCollaboration skillsPresentation skills

Required

Master's or Ph.D. in Computer Science, Electrical/Computer Engineering, Artificial Intelligence, or a related field (or equivalent experience)
8+ years of hands-on experience in a technical AI role, with emphasis on autonomous systems, simulation, or generative AI
Programming expertise in Python and C++, with solid software design and debugging experience on Linux with a deep understanding of Autonomous Vehicle systems, including sensors, dynamics, perception, prediction, planning, and control
Hands-on experience with DevOps tools (GitLab, Docker, Kubernetes) and scalable distributed systems and Deep Learning (DL) and Reinforcement Learning (RL) frameworks experience such as PyTorch or JAX
Expertise in computer vision and 3D reconstruction technologies
Excellent communication, collaboration, and presentation skills with the ability to engage technical and non-technical audiences
Highly motivated and passionate about driving technical innovation and sharing knowledge!

Preferred

Hands-on experience with LiDAR, radar, camera, IMU, and other sensor modalities
Familiarity with NVIDIA Cosmos, NuRec, Isaac Sim, Isaac Lab, and Omniverse for physical AI simulation and synthetic data generation
Strong GPU optimization and profiling expertise using Nsight Systems and Nsight Compute
CUDA programming experience, model quantization, and inference acceleration

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase