Senior Solutions Architect, Generative AI, Senior Solutions Architect, Generative AI - Santa Clara

Only for registered members Santa Clara, United States

18 hours ago

Default job background
$184,000 - $287,500 (USD)
NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. · At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and ...
Job description

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology.

At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning (DL) software and hardware platforms.

We're looking to grow our company, and build our teams with the smartest people in the world.

Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models (LLMs).

You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA

What You Will Be Doing

Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions
Dynamically engaging with developers, scientific researchers, data scientists, which will give you experience across a range of technical areas
Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform
Working closely with customers to help them adopt and build solutions using NVIDIA technology
Analyze performance and power efficiency of deep learning inference workloads
Some travel to conferences and customers may be required

What We Need To See

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow
Strong fundamentals in programming, optimizations and software design, especially in Python
Strong problem-solving and debugging skills
Excellent knowledge of theory and practice of Large Language Models and Deep Learning inference
Excellent presentation, communication and collaboration skills
Desire to be involved in multiple diverse and creative projects

Ways To Stand Out From The Crowd

Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM
Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
Familiarity with parallel programming and distributed computing platforms
Prior experience with DL training at scale, deploying or optimizing DL inference in production


Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.

As you plan your future, see what we can offer to you and your family

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 6, 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, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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