AI Solutions Architect Engineer

Position Overview

We are seeking an experienced AI Solutions Architect Engineer with a strong background in Generative AI software development and deployment. As part of the Solutions Architect organization, you will work with cutting-edge computing hardware and software, driving breakthroughs in deep learning and AI alongside NVIDIA's key customers. This role offers a significant opportunity to advance your career in the rapidly expanding field of AI while collaborating with the world's leading technology companies. Your primary responsibility will be to lead technical engagements with customers, leveraging NVIDIA's products and technologies. Join us in this exciting endeavor!

What You'll Be Doing

• Develop and demonstrate software solutions utilizing NVIDIA's groundbreaking AI software and hardware technologies for customers.
• Build and optimize Generative AI model pipelines, performing in-depth analysis to ensure peak performance on current and next-generation GPU architectures.
• Develop and debug software for NVIDIA and open-source AI frameworks and libraries.
• Lead and develop Proof-of-Concepts (PoCs) for software solutions tailored to Consumer Internet industry use-cases, including NLP/LLM, retrieval, and recommender systems, by collaborating closely with customer AI developers.
• Create collateral, such as notebooks and code, for PoCs.
• Partner with the business development team to manage technical relationships and enable customers in building innovative solutions based on NVIDIA technologies.
• Collaborate with NVIDIA software engineering, product, and sales teams to secure design wins at customer sites.
• Contribute to the development and growth of NVIDIA product features through customer feedback and PoC evaluations.

Requirements

• Bachelor's, Master's, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related engineering field, or equivalent practical experience.
• 5+ years of experience as an AI/Software Engineer with a proven track record in Python and/or C++ development, utilizing popular AI software libraries and GPUs.
• Experience with Generative AI applications, including LLM training/fine-tuning, inference optimization, and/or RAG pipelines.
• Ability to clearly communicate ideas and code through platforms like GitHub and documentation.
• A strong team player who enjoys collaborating with cross-functional teams, including Engineering/Research, Sales, Product, and Marketing.
• Effective verbal and written communication skills, along with strong technical presentation abilities.
• A self-starter with a passion for growth, a drive for continuous learning, and a willingness to share findings across the team.

Ways to Stand Out

• Experience working with enterprise developers and strong customer-facing skills.
• Experience with large-scale production data pipelines and AI model training/deployment.
• Knowledge of MLOps technologies such as containers, Kubernetes, and data center deployments.
• Creative problem-solving abilities for debugging complex issues.

Company Information

NVIDIA is widely recognized as one of the technology industry's most desirable employers, offering highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture. We host some of the most innovative minds working on impactful problems that are shaping the fields of ML/DL, data science, robotics, and graphics.

Compensation & Benefits

• Salary Range: $148,000 - $235,750 USD. Your specific base salary will be determined by your location, experience, and the pay of employees in similar positions.
• Eligibility: You will also be eligible for equity and benefits.

Application Instructions

NVIDIA accepts applications on an ongoing basis.

Equal Opportunity Employer

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location

We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and data science conferences. We are open to remote work locations. We look forward to having you join our team!