Senior Solutions Architect, AI Performance Engineering
AI summary of the role
NVIDIA seeks a Senior Solutions Architect to drive adoption of its full-stack technologies for autonomous vehicle and robotics workloads in data centers.
What you’ll do
- Engage with customers to accelerate AV perception, planning/policy models, simulations, and synthetic data generation at scale using NVIDIA profiling tools and libraries.
- Partner with Sales, Engineering, Product, and other SA teams to drive full-stack adoption and lead proof-of-concept evaluations.
- Develop and demonstrate solutions based on NVIDIA's software and hardware technologies.
- Perform in-depth analysis and optimization of AI models for current and next-generation GPU architectures.
What you’ll bring
- BSc/MSc/PhD or equivalent in Computer Science, Electrical Engineering, Physics, Mathematics, or related field.
- 8+ years hands-on ML/DL infrastructure experience in Autonomous Vehicles focusing on compute efficiency of training and inferencing.
- Experience with Python, CUDA, or C++ and proficiency with Linux.
- Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes.
Technologies
CUDA · cuDNN · NCCL · PyTorch · Nsight Systems · Nsight Compute · GitLab · Docker · Kubernetes · Transform Engine
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Technical pre-sales · Evidence for this classification:
NVIDIA is building the world’s leading AI company, and we are looking for an expert AV and Robotics Solutions Architect who can help customers accelerate Physical AI workloads using NVIDIA's full-stack technologies! As part of the Automotive Solutions Architecture team, we work with some of the most innovative accelerated computing platforms focused on the development and test of Autonomous Vehicles. A Solutions Architect is the first line of technical expertise between NVIDIA and our Auto customers so you will engage directly with developers, researchers, and data scientists with some the most strategic customers as well as work directly with business and engineering teams on product strategy as it pertains to these customers. Join us in this exciting endeavor! What you'll be doing: Engage with customers to help accelerate training AV perception and planning/policy models,
More from the job description
NVIDIA is building the world’s leading AI company, and we are looking for an expert AV and Robotics Solutions Architect who can help customers accelerate Physical AI workloads using NVIDIA's full-stack technologies! As part of the Automotive Solutions Architecture team, we work with some of the most innovative accelerated computing platforms focused on the development and test of Autonomous Vehicles. A Solutions Architect is the first line of technical expertise between NVIDIA and our Auto customers so you will engage directly with developers, researchers, and data scientists with some the most strategic customers as well as work directly with business and engineering teams on product strategy as it pertains to these customers. Join us in this exciting endeavor! What you'll be doing: Engage with customers to help accelerate training AV perception and planning/policy models, simulations, synthetic data generation, software in the loop testing, at large scale using Nvidia profiling tools Nsight System/Compute and employing libraries and frameworks such as cuDNN, NCCL, Transform Engine, PyTorch, etc. Partner with Sales, Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption. Develop a deep understanding of customer workflows and requirements, lead proof-of-concepts evaluations and provide internal feedback to drive continuous product improve [... source excerpt omitted ...] ur location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 18, 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, nat
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