Used Tools & Technologies
Not specified
Required Skills & Competences ?
Linux @ 4 Python @ 6 Communication @ 7 Networking @ 4 API @ 4 Customer Support @ 7 GPU @ 4Details
We are seeking a Senior Solutions Architect to join NVIDIA's AI Infrastructure team. You will help introduce NVIDIA GPU products into customer deployments — from data centers to edge computing — and play a key role in system design, customer engagement, and scaling high-performance distributed AI infrastructure.
Responsibilities
- Architect and scale high-performance, distributed AI infrastructure on-premises or in the cloud using NVIDIA GPU supercomputers.
- Act as a technical specialist on GPU and networking products, supporting sales account managers to secure design wins.
- Establish and nurture technical relationships with customer engineers, management, and architects.
- Identify customer architectures and key product requirements in the CSP/OEM AI market to implement NVIDIA solutions successfully.
- Provide onsite support to diagnose and solve hardware and software problems, with focus on deep learning inference.
- Lead product lifecycle activities from design-in to end-of-life, ensuring execution and customer satisfaction.
- Develop technical solutions including hardware & software demos and example system designs.
- Provide technical and sales training to direct sales teams and channel partners.
Requirements
- BS or MS in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience.
- 8+ years of experience in the high-tech electronics industry, especially in system design or technical customer support roles.
- Strong system design and analytical/problem-solving skills.
- Experience working in dynamic, rapidly changing environments and managing multiple initiatives/priorities.
- Excellent written and oral communication skills in English and strong interpersonal skills for coordinating complex projects and collaborating with management and engineering teams.
- Ability to provide onsite customer support and engage directly with customers on technical topics.
Ways to stand out
- Experience with ARM and NVIDIA GPU development.
- Proficiency in C/C++ and Python.
- Knowledge of Embedded Linux systems, APIs, and similar embedded OS.
- Practical knowledge of NVIDIA systems technologies such as NCCL, DCGM, and UFM.
- Experience working with OEMs in industrial, military, or ruggedized computing spaces.
Compensation & Benefits
- Base salary ranges by level (determined by location and experience):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and benefits (see https://www.nvidia.com/en-us/benefits/).
Additional information
- Applications accepted at least until October 30, 2025.
- NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.