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:
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.
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 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!
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.
You will also be eligible for equity and benefits.
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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
