NVIDIA
Senior Solution Architect – Simulation Solutions for Edge Computing
NVIDIA, Santa Clara, California, us, 95053
Senior Solution Architect – Simulation Solutions for Edge Computing
Join NVIDIA as a Senior Solution Architect to contribute to the development of forward-thinking simulation and AI platforms, collaborating with internal and external teams to invent pioneering solutions for 3D Neural Reconstruction, Generative Video models, and Omniverse.
As a technical advisor, you will drive innovation in simulation, 3D reconstruction, generative models, and inference optimization, enabling the next generation of autonomous simulation.
What You’ll Be Doing
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 prototype 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 such as workshops, reference architectures, and integration guides to accelerate adoption and standardize 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.
What We Need To See
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 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!
Ways To Stand Out From The Crowd
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.
Base salary range: $184,000 – $287,500 for Level 4, $224,000 – $356,500 for Level 5.
You will also be eligible for equity and benefits.
Applications will be accepted until October 31, 2025.
NVIDIA is committed to fostering a diverse work environment and prides itself as an equal opportunity employer. NVIDIA does not discriminate (including in hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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As a technical advisor, you will drive innovation in simulation, 3D reconstruction, generative models, and inference optimization, enabling the next generation of autonomous simulation.
What You’ll Be Doing
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 prototype 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 such as workshops, reference architectures, and integration guides to accelerate adoption and standardize 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.
What We Need To See
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 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!
Ways To Stand Out From The Crowd
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.
Base salary range: $184,000 – $287,500 for Level 4, $224,000 – $356,500 for Level 5.
You will also be eligible for equity and benefits.
Applications will be accepted until October 31, 2025.
NVIDIA is committed to fostering a diverse work environment and prides itself as an equal opportunity employer. NVIDIA does not discriminate (including in hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
#J-18808-Ljbffr