OEM Solutions Architect — Remote AI Data Center GPUs

NVIDIA Corporation; Austin (TX); Hybrid; USD 124,000 - 242,000; Full time

Benefits offered by this job

Equity compensation

Benefits package

Job summary

NVIDIA Corporation in Round Rock, TX is seeking a Solutions Architect - OEM to review solution feasibility, coordinate qualification and certification, and partner closely with OEMs to ensure projects are completed flawlessly.

You will analyze server platforms at a full system level, drive progress in server architecture, and translate complex data into actionable recommendations. Travel to support goals will be required.

Qualifications

• BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or related discipline (or equivalent experience).
• 2+ years of relevant experience as a Solutions Architect, Systems Engineer, or similar technical role.
• Strong ability to manage multiple client engagements and technical cases with clear priorities.
• Solid grasp of server architecture, CPUs/GPUs, memory, storage, power delivery and interconnects.

Responsibilities

• Collaborate with marketing and design solutions teams to review new solutions and manage qualification and certification submissions.
• Develop a strong relationship with the OEM and ensure projects are completed flawlessly.
• Analyze server or computing platforms at a full system level and propose practical solutions.
• Translate technical data into clear recommendations for business and engineering teams.

Skills

Server architecture

Project management

Communication

Schematics interpretation

Python scripting

Diagnostics analysis

Education

BS or MS in Electrical Engineering, Computer Engineering or Computer Science

Tools

Python

Shell scripting

Job description

NVIDIA Corporation in Round Rock, TX is seeking a Solutions Architect - OEM to review solution feasibility, coordinate qualification and certification, and partner closely with OEMs to ensure projects are completed flawlessly.

You will analyze server platforms at a full system level, drive progress in server architecture, and translate complex data into actionable recommendations. Travel to support goals will be required.