Senior AI Solutions Architect

Location: US, CA, Santa Clara, US, CA, Remote

Time Type: Full time

Job Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for Solution Architects with deep expertise in AI solutions and scalable data center infrastructure to drive the build and efficient use of innovative compute platforms. In this role, you will be a trusted technical advisor to our developers and customers. You will be responsible for embedding NVIDIA software into customer architectures and workflows, you will play a direct role in improving application performance, increasing developer productivity, and establishing the technical foundation required for next-generation AI systems. 

What you'll be doing:

• Support Business Development and Sales teams as part of a Team of 4, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive our developers’ ecosystem success.

• Work directly with developers and customers in a customer-facing setting

• Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.

• Analyze application architectures and find opportunities for acceleration.

• Provide feedback and collaborate with engineering, product and research teams.

• Deliver trainings, hackathons and technical demonstrations on NVIDIA solutions and platforms

What we need to see:

• MS/PhD degree in Machine Learning, Computational Science, Physics or related technical field (or equivalent experience).

• 4+ years of experience in AI, ML, DL, NLP, and/or Generative AI.

• Familiarity with accelerated computing platforms and GPU-based distributed systems.

• Experience in algorithm programming using languages like Python and C/C++.

• Development experience using major AI frameworks (e.g., PyTorch, Tensorflow, and similar tools)

• Familiarity with containers, numerical libraries, modular software design, version control, GitHub

• Experience designing, prototyping, and building complex AI/ML-based solutions for customers.

• Able to reason across components such as data pipelines, models, compute, networking, and orchestration.

• Solid written and oral communications skills and familiarity with collaborative environments.

• Team players, can learn, react and adapt quickly with an attitude to work for a fast-paced environment.

Ways to stand out from the crowd:

• Development experience with NVIDIA software libraries and GPUs.

• Experience with Kubernetes, distributed training, and large-scale inference.

• Experience supporting or using PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages.

• Familiarity with embedded domain-specific languages (EDSL) like CUDA, OneAPI, OpenCL, or HDL.

#NALASAHiring

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.Applications for this job will be accepted at least until August 7, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.