Solutions Architect - AI & HPC

Employment Type: Full-time

Position Overview

Are you a computational scientist, engineer, or data scientist passionate about working on the frontiers of artificial intelligence (AI) and high-performance computing (HPC)? NVIDIA is searching for a Solutions Architect to join our team in Canada and help customers solve challenging problems using AI. Solutions Architects are the primary technical contacts for our customers and engage deeply with scientific researchers and application developers. We need individuals who can develop positive relationships with researchers and developers, learn their requirements, and work to bring solutions that enable their success. Your primary responsibilities will be to foster machine learning technical engagements with our largest Canadian enterprise customers.

What You’ll Be Doing

• Engage with AI developers and engineers to develop a keen understanding of their goals, strategies, and technical needs, and drive NVIDIA technology adoption in data center, edge, and cloud deployments.
• Facilitate AI use cases and proof-of-concepts on the NVIDIA platform.
• Collaborate with other solution architects, engineering, and product teams, understanding their technical needs and helping define high-value solutions.
• Strategically support and partner with Canadian customers and industry-specific solution partners to help them adopt and build solutions using NVIDIA technology.

Requirements

• MS or PhD in Computer Science, Engineering, or related field from an accredited university.
• 5+ years of experience.
• Experience with modern AI software tools including PyTorch, JAX, TRT-LLM, vLLM, SGLang, or other frameworks.
• Programming experience with data science languages like Python, and/or HPC languages such as C/C++/Fortran.
• Experience with GPUs and accelerated computing.

Ways to Stand Out

• Excellent knowledge of theory and practice of deep learning, reinforcement learning, and/or large language models.
• CUDA/GPU optimization or CUDA-X library experience.
• Knowledge of MLOps technologies such as Docker/containers, Kubernetes, as well as cloud and data center deployments.
• Experience deploying large-scale GPU clusters.
• Experience deploying AI inference at scale on-premise or in the cloud.

Company Information

NVIDIA is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Compensation

• Base Salary Range: $116,250 CAD - $247,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• You will also be eligible for equity and benefits.

NVIDIA accepts applications on an ongoing basis.