Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 4 Kubernetes @ 3 Python @ 7 GitHub @ 4 MLOps @ 3 Hiring @ 4 Communication @ 7 Mathematics @ 4 Debugging @ 4 PyTorch @ 4 CUDA @ 4 GPU @ 4Details
NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and/or deployment for a customer-facing role. Primary responsibilities are to help accelerate customer workloads and lead customer technical engagements around NVIDIA software and technologies. The role focuses on working with large technology customers and observing emerging industry trends at the cutting edge. The position may require occasional travel for local on-site visits to customers and conferences and the company is open to remote work.
Responsibilities
- Collaborate closely with customers to improve workload performance and reduce infrastructure costs.
- Lead and develop proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and build collateral (notebooks/code) as needed.
- Develop and debug software for NVIDIA and open-source AI frameworks and libraries.
- Partner with NVIDIA’s software engineering, product, and sales teams to secure design wins and drive development of innovative solutions based on customer feedback.
- Present technical work and code through GitHub, documentation, and presentations; engage in customer-facing technical interactions.
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 a proven track record coding in Python and/or C++ with popular AI software libraries and GPUs.
- Experience profiling and optimizing model training/inference performance on GPUs.
- Experience developing and optimizing GPU kernels for deep learning, with focus on GEMM and attention kernels.
- Strong communication skills and ability to convey ideas and code through GitHub, documentation, and presentations.
- Ability to collaborate 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.
Ways to stand out
- Full stack experience from DL framework level (such as PyTorch/JAX) to lower level (such as CUDA/CUTLASS/cuDNN/NCCL).
- Experience working with enterprise developers and strong customer-facing skills.
- Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments.
- Experience with large-scale production data pipelines and AI model training/deployment.
- Creative problem-solving skills for debugging and resolving complex issues.
Benefits
- Competitive base salary (see range below), eligibility for equity, and a comprehensive benefits package.
- NVIDIA provides benefits information at www.nvidiabenefits.com and details on benefits at https://www.nvidia.com/en-us/benefits/.
Compensation and other details
- Base salary range: 184,000 USD - 287,500 USD (determined based on location, experience, and pay of employees in similar positions).
- You will also be eligible for equity and benefits.
- Applications for this job will be accepted at least until August 14, 2025.
- NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.