Senior Solutions Architect - AI

Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance Computing, BiotechnologyIndustries

Requirements

Candidates must possess an MS or PhD in Computer Science, Engineering, or a related field from an accredited university, with over 5 years of experience. Required skills include experience with modern AI software tools like PyTorch, JAX, TRT-LLM, vLLM, or SGLang, programming experience with data science languages such as Python, and/or HPC languages like C/C++/Fortran, and experience with GPUs and accelerated computing. Preferred qualifications include excellent knowledge of deep learning, reinforcement learning, and/or large language models, CUDA/GPU optimization or CUDA-X library experience, knowledge of MLOps technologies (Docker/containers, Kubernetes), cloud and data center deployments, experience deploying large-scale GPU clusters, and experience deploying AI inference at scale on-premise or in the cloud.

Responsibilities

The Senior Solutions Architect will foster machine learning technical engagements with major Canadian enterprise customers, engage with AI developers and engineers to understand their goals and technical needs, and drive NVIDIA technology adoption across data center, edge, and cloud deployments. Responsibilities include facilitating AI use cases and proof-of-concepts on the NVIDIA platform, collaborating with other solution architects and engineering teams to define high-value solutions, and strategically supporting Canadian customers and partners in adopting NVIDIA technology.

Skills

HPC

Machine Learning

Deep Learning

Reinforcement Learning

Large Language Models

PyTorch

JAX

TRT-LLM

vLLM

SGLang

Python

C/C++

Fortran

GPUs

Accelerated Computing

Data Science

Solutions Architecture

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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