Solution Architect, Continuous Bring Up - New College Grad 2025 at Nvidia Corporation in Santa Clara, California

Job Description:

NVIDIA is building the world's leading AI company, and we need Solution Architects to help our customers adopt GPU Deep Learning, accelerated data analytics, and other GPU-accelerated technologies. As a recent graduate you will team up with Solution Architects mentor for on-the-job training working as part of an NVIDIA account team supporting customers building solutions with our newest software and hardware platforms. A Solutions Architect is the first line of technical expertise between NVIDIA and our partners and customers. You will dynamically engage with developers, scientific researchers, data scientists, IT managers and senior leaders.

Spend 18 months rotating quarterly through customer-facing teams supporting different technical areas such as IB/ETH networking, DPU, Cloud infrastructure DevOps, HPC/AI workloads, and customer success. In the process, you will have the opportunity to become a specialist in our enterprise products including the DGX/HGX systems, and networking DPUs and switches, as well as our developer software platforms including NVIDIA Omniverse, NVIDIA HPC and NVIDIA AI. It may also be possible to rotate with our program management or engineering teams. And at the end of 18 months, after becoming a domain specialist on at least one job profile and NVIDIA technology, you will join a team as a Solution Architect where you can have the greatest impact!

What you'll be doing:

• Be responsible for the setup of experiments, tests, equipment, and otherwise facilitate evaluations that help solve customer problems using NVIDIA technologies


• Partner with Build and Program Management teams to support AI Factory deliveries globally.


• Establish close technical ties to the customer account, establishing personal relationships to facilitate rapid resolution of customer issues


• Work closely and collaborate with the NVIDIA customer account team, other Solution Architects, and/or product engineering teams during quarterly rotation assignments


• You will raise and provide timely advance warning of critical customer issues that require additional attention


• Present platform solutions to customers, partners, community, etc.


• Some rotation assignments might require up to 15% travel

What we need to see:

• Recent completion of Bachelors or Master's degree in Computer Science/Electrical/Mechanical Engineering or equivalent experience


• Data Sciences, Deep Learning, or Machine Learning coursework


• Strong programming skills in one or more high-level languages Python, C, C++, Rust, etc.


• Motivated self-starter with an equal balance of strong problem-solving skills and strong customer-facing communication skills including presenting


• Strong collaboration and interpersonal skills


• Passion for continuous learning, knowledge transfer and working in a dynamic environment without losing focus

Ways to stand out from the crowd:

• Background with working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing or other GPU related technologies including using TensorFlow, PyTorch, DL frameworks or CUDA


• Experience working with Docker, Kubernetes or slurm both on-prem and cloud-based infrastructure including HPC or AI supercomputer clusters


• System, networking and storage hardware, software and administrative experience


• Exposure to cloud service platforms such as AWS, Azure, GCP or OCI through coursework or through certification programs

The base salary range is 104,000 USD - 189,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.

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.