Senior Solutions Architect, Generative AI at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Consumer Internet, Technology, Artificial IntelligenceIndustries

Requirements

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience
8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs
Experience with profiling and optimizing model training/inference performance on GPUs
Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels
Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations
A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing
Self-starter with a passion for growth, continuous learning, and sharing insights with the team

Responsibilities

Collaborating closely with customers to improve their workload performance and reduce infrastructure costs
Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed
Developing and debugging software for NVIDIA and open-source AI frameworks and libraries
Partnering with NVIDIA’s software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback

Skills

Key technologies and capabilities for this role

PythonC++GPUsAI FrameworksModel TrainingModel InferenceGPU KernelsGEMMAttention KernelsLLMsRecommendersProfilingOptimization

Questions & Answers

Common questions about this position

What is the salary range for this Senior Solutions Architect role?

The base salary range is 184,000 USD and higher (exact upper limit not fully specified).

Is remote work possible for this position?

Yes, the role is open to remote work, though occasional travel is required for customer visits and conferences.

What skills are required for this Senior Solutions Architect position?

Candidates need 8+ years as an AI/Software Engineer with Python and/or C++ coding experience using AI libraries and GPUs, expertise in profiling and optimizing model training/inference on GPUs, and experience developing/optimizing GPU kernels for deep learning focusing on GEMM and attention kernels. A BS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics, or equivalent is required, along with strong communication and teamwork skills.

What is the company culture like at NVIDIA for this role?

The role involves close collaboration with customers, NVIDIA's software engineering, product, and sales teams, and cross-functional teams including Engineering, Research, Sales, Product, and Marketing. It emphasizes being a self-starter with a passion for growth, continuous learning, and sharing insights in a customer-facing environment.

What makes a candidate stand out for this position?

Stand out with full stack experience from DL frameworks like PyTorch/JAX to low-level CUDA/CUTLASS/cuDNN/NCCL, customer-facing skills with enterprise developers, MLOps knowledge in containers/Kubernetes/data centers, large-scale production data pipelines, and creative problem-solving for complex issues.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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