Senior Solutions Architect – Simulation Solutions 3D Reconstruction at NVIDIA

You're a seasoned Senior Solutions Architect with 8+ years of hands-on experience in 3D reconstruction or related fields like autonomous systems, simulation, or

Work type: onsite

Location: US, CA, Santa Clara

Salary: $184,000 – $287,500/yr

Type: Full-time

Summary

You're a seasoned Senior Solutions Architect with 8+ years of hands-on experience in 3D reconstruction or related fields like autonomous systems, simulation, or generative AI, holding a Bachelor's or Master's in Computer Science, Electrical/Computer Engineering, or equivalent. **What makes it worth a look...** NVIDIA is offering a full-time, on-site role in Santa Clara, CA, with a strong base salary range of $184,000 to $287,500, plus equity, and the chance to work on pioneering simulation and AI platforms. **You might be a good fit if you...** * Have expertise in computer vision, graphics, simulation, and 3D reconstruction. * Are proficient in Python and C++ with Linux software design and debugging experience. * Possess hands-on experience with DevOps tools like GitLab, Docker, and Kubernetes.

Job Description

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. You will drive technical innovation in simulation, 3D reconstruction, generative models, and inference optimization, enabling the next generation of autonomous simulation.

We are looking for an outstanding engineer to contribute to the progress of all aspects of AI platform development. In this role, you will apply both AI and systems knowledge and technical leadership to scale development of NVIDIA's AI platform efforts. We seek a creative, self-starting and highly productive engineering professional to help us invent the future of computing. This is a role for a creative innovator who revels in rolling up their sleeves to solve important problems!

What you’ll be doing:

• 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.

• Bachelor’s Degree or Master’s in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).

• 8+ years of hands-on experience in 3D reconstruction or relevant domains, with emphasis on autonomous systems, simulation, or generative AI.

• Expertise in computer vision, graphics, simulation and 3D reconstruction technologies.

• Programming expertise in Python and C++, with solid software design and debugging experience on Linux.

• Hands-on experience with DevOps tools (GitLab, Docker, Kubernetes).

• 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!

• 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.

• CUDA programming experience, model quantization, and inference acceleration.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 16, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our 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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