Senior Solutions Architect – Simulation Solutions for Edge Computing

Details

NVIDIA is seeking an outstanding Senior Solutions Architect to contribute to the development of forward-thinking simulation and AI platforms. Collaborate with internal and external teams to invent pioneering solutions for 3D neural reconstruction, generative video models, Omniverse, and edge/inference optimization. This role drives technical innovation in simulation, 3D reconstruction, generative models, and inference optimization to enable next-generation autonomous simulation.

Responsibilities

• Act as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI-enabled solutions.
• Prototype and 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—define objectives, architecture, milestones, 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 standard processes.
• Advocate for partner technical needs within NVIDIA—provide actionable feedback to influence product roadmaps and future technology direction; support product launches and go-to-market activities.
• Guide research and implementation in 3D reconstruction, integrating innovations (for example, Gaussian splatting) into autonomous simulation pipelines.

Requirements

• 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.
• Deep understanding of autonomous vehicle systems, including sensors, dynamics, perception, prediction, planning, and control.
• Hands-on experience with DevOps tools and platforms such as GitLab, Docker, and Kubernetes.
• Experience building scalable distributed systems and working with 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 for technical and non-technical audiences.
• Highly motivated, creative, and able to drive technical innovation and knowledge sharing.

Ways to stand out

• 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.

Compensation & Benefits

• Base salary ranges (location- and level-dependent):
  • Level 4: 184,000 USD - 287,500 USD
  • Level 5: 224,000 USD - 356,500 USD
• Eligibility for equity and benefits (see NVIDIA benefits page).

Other details

• Location: Santa Clara, CA, United States (on-site role as listed).
• Employment type: Full time.
• Applications accepted at least until December 8, 2025.
• NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.