Jobs in Canada

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Added 2 months ago
Principal Data and Applied Scientist
SAP
Montreal, QC
Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets.
Added 2 months ago
Principal Product Manager - Okta Identity Threat Detection and Response Products
Okta
Toronto, ON
We are seeking a Principal Product Manager, Okta Identity Threat Detection and Response Products, an individual contributor role, to drive the evolution of Okta’s cutting-edge identity…
Added 2 months ago
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Senior Forward-DeploData Scientist/ Scientifique des données principal(e) déployé(e) (niveau Senior, Forward-Deployed)
NBCUniversal
Montreal, QC
- Full-time
…centered on bridging the gap between raw data and high-quality machine learning inputs, requiring a blend of technical expertise and cross-functional…
Added 2 months ago
FR
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Ratings
Toronto, ON
- Full-time
…ambition of everyone around them. If you've spent time deep in machine learning or AI systems - not just using them, but building them - that's not just a bonus, it's the kind of background…
Added 2 months ago
B
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
- Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
Added 2 months ago
W
Principal AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is…
Added 2 months ago
AI Software Engineer
Eclipse Automation
Cambridge, ON
Prototype alternatives quickly, measure results, document findings, and help the Principal AI Architect make evidence-based architecture and technology decisions.
Added 2 months ago
Lead Software Engineer, Full-Stack Applications - Innovation Teams
Fitch Group
Toronto, ON
…community. If you’re looking for purposeful work, constant learning, and a place where your impact and growth accelerate - this is where you’ll…
Added 1 month ago
Q
Sr to Principal Machine Learning Engineer, Framework & Performance
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 2 months ago
P
Principal AI Engineer
PointClickCare
Mississauga, ON
- Full-time
Experience with Azure OpenAI Service, Azure AI Studio, and Azure Machine Learning platforms in healthcare or regulated industries
Added 3 months ago
C
Senior Data Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
…Lakehouses) that improve data democratization, operationalize machine learning models, and drive business…
Added 3 months ago
C
Senior Architect (Cloud & FinOps Strategy)
CGI
Toronto, ON
- Full-time
Architect foundational cloud environments (Landing Zones) that balance developer agility with strict security, compliance, and financial controls.
Added 2 months ago
Principal Software Engineer – Developer Platform (Auth0)
Okta
Toronto, ON
We're hiring a Principal Engineer (P5) to serve as the technical leader and compass for the Developer Platform team. You'll work across the breadth of the platform, tackling the highly…
Added 2 months ago
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Group
Toronto, ON
…ambition of everyone around them. If you've spent time deep in machine learning or AI systems - not just using them, but building them - that's not just a bonus, it's the kind of background…
Added 3 months ago
B
Senior Software Developer - HD
BinSentry
Kitchener, ON
- $100,000 to $140,000 CAD / year
- Full-time
As we scale up, we are looking for a Senior Software Developer to help us build the software that is changing the face of the feed industry. This is a new vacancy due to growing business…
Added 3 months ago
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Developer Relations Manager, Higher Education and Research - Foundational AI
NVIDIA
Toronto, ON · Canada, Toronto
- Full-time
PhD in Computer Science, AI, Machine Learning, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent research depth.
Added 3 months ago
TO
Master Instructor - Digital Arts
Town of Oakville
Oakville, ON
- Full-time
…Website Design, and/or Desktop Publishing. Knowledge of Cricut 3 machine, scanners and large format printers is recommended. The successful applicant must be an independent, reliable…
Added 3 months ago
O
Principal Software Engineer, Productivity (Golang)
Okta
Toronto, ON
- $177,000 to $265,000 CAD / year
- Full-time
Position Description: We are looking for a Principal-level engineer who is passionate about building and evolving the developer productivity ecosystem used by the entire Workflows…
Added 2 months ago
D
Chief Software Engineering Architect
DataStealth
Mississauga, ON
- Full-time
…own the architecture roadmap end-to-end, and lead our team of Principal and Distinguished Engineers through technical credibility rather than authority. You think in decades of system…
Added 3 months ago
T(
Principal Data Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
- $210,000 to $270,000 CAD / year
- Full-time
- Remote
Design data models that support product development, machine learning, and long-term platform evolution.
Added 3 months ago
T(
Principal AI/ML Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
- $240,000 to $320,000 CAD / year
- Full-time
- Remote
Creating an investable index from a conversation with AI isn't a traditional machine learning problem. Users aren't simply prompting a chatbot - they're collaborating with an intelligent…
Added 3 months ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As a Principal AI/ML Engineer, you will define and drive implementation approaches for enterprise-scale AI initiatives that transform how lululemon operates and delivers value. You will…
Added 3 months ago
PS
Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)
Public Sector Pension Investment Board
Montreal, QC
- Full-time
Practical experience applying statistical or machine learning techniques to real-world, often messy datasets
Added 3 months ago
DT
Senior Solutions Principal
Dell Technologies
Toronto, ON
- Full-time
As a Senior Solutions Principal, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the…
Added 3 months ago
R
AI Solutions Architect (Senior and Principal)
RAVL
Toronto, ON
- Full-time
As a Senior or Principal engineer, you'll bring technical leadership to complex engagements, influence solution direction, mentor teammates, and help shape RAVL's growing AI engineering…

NVIDIA

Developer Relations Manager, Higher Education and Research - Foundational AI

Toronto, ON, Canada
Canada, Toronto, Canada

The base salary range is 170,000 CAD - 220,000 CAD for Level 4, and 225,000 CAD - 275,000 CAD for Level 5. · Full-time

Apply on nvidia.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: The base salary range is 170,000 CAD - 220,000 CAD for Level 4, and 225,000 CAD - 275,000 CAD for Level 5.
Job type: Full-time
Experience: 8+ years of experience
Posting language: English
Posted: Aug 17, 2026

Original job description

We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale.

The ideal candidate brings deep technical credibility in foundational AI, strong research engagement experience, and ecosystem knowledge.

What you'll be doing:

Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems.
Identify high-impact research workloads where NVIDIA software, systems, and accelerated computing platforms can advance model performance, scale, and efficiency.
Engage principal investigators, postdocs, graduate researchers, and lab leadership to understand research goals, technical blockers, infrastructure needs, and collaboration opportunities.
Track frontier AI research across papers, benchmarks, open-source projects, and academic labs to identify emerging trends and future platform opportunities.
Partner with Research Account Managers, Solution Architects, Product, Engineering, and Business Development teams to support researcher adoption and long-term engagement.
Represent researcher needs internally by translating academic feedback into actionable insights for product roadmaps, developer programs, education, and platform strategy.
Support NVIDIA participation in major AI, ML, and systems research venues through technical content, workshops, university engagements, and lab-facing programs.

What we need to see:

PhD in Computer Science, AI, Machine Learning, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent research depth.
8+ years of experience
Deep expertise in foundational AI, including LLMs, multimodal models, generative AI, reasoning, post-training, model evaluation, or AI systems research.
Strong understanding of modern AI model development across the lifecycle, including pretraining, fine-tuning, post-training, optimization, evaluation, deployment, and model serving.
Hands-on experience with AI research stacks such as PyTorch, JAX, distributed training frameworks, inference systems, model serving platforms, evaluation pipelines, and GPU-accelerated workflows.
Technical fluency in scalable AI systems, including distributed training, parallelism strategies, checkpointing, memory optimization, batching, scheduling, latency, throughput, and cost-performance tradeoffs.
Familiarity with methods that improve model efficiency and performance, such as quantization, distillation, sparsity, speculative decoding, attention optimization, synthetic data generation, RLHF/RLAIF, and preference optimization.
Ability to engage top academic labs on frontier research challenges, including scaling behavior, compute efficiency, model quality, benchmark methodology, reproducibility, reliability, and research impact.
Demonstrated research credibility through publications, open-source contributions, academic collaborations, technical leadership, or direct work on frontier AI systems.

Ways to stand out from the crowd:

Experience with NVIDIA AI platforms, including CUDA, CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NIM, NeMo, Megatron, Transformer Engine, NCCL, DGX, NVLink, InfiniBand, or NVIDIA AI Enterprise.
Established relationships with leading AI labs, academic institutions, research institutes, benchmark communities, or major open-source AI projects.
Track record translating frontier AI research into demos, tutorials, reference architectures, workshops, technical blogs, or developer enablement programs.
Experience presenting at venues such as NeurIPS, ICML, ICLR, CVPR, AAAI , or related research workshops.
Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth.

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 170,000 CAD - 220,000 CAD for Level 4, and 225,000 CAD - 275,000 CAD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Apply on nvidia.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

You will serve as a technical advisor to academic AI labs, identifying high-impact research workloads and facilitating the adoption of NVIDIA's accelerated computing platforms. Additionally, you will partner with internal engineering and product teams to translate academic feedback into actionable insights for platform strategy and roadmaps.

Requirements

Candidates must hold a PhD in a technical field such as Computer Science or AI, with at least 8 years of relevant experience. You must possess deep expertise in foundational AI model development, scalable AI systems, and hands-on experience with research stacks like PyTorch and JAX.

Skills

Foundational AI
Large Language Models
Multimodal Models
PyTorch
JAX
Distributed Training
Inference Systems
Model Serving
GPU-accelerated Workflows
CUDA
TensorRT-LLM
Triton Inference Server
Technical Advisory
Research Engagement
Scalable AI Infrastructure
Generative AI

Benefits

Equity
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

Foundational AI
LLMs
Multimodal Models
Generative AI
PyTorch
JAX
Distributed Training
Inference Systems
Model Serving
CUDA
TensorRT-LLM
Triton Inference Server
NIM
NeMo
Megatron
Transformer Engine
NCCL
DGX
NVLink
InfiniBand
NVIDIA AI Enterprise
Quantization
Distillation
Sparsity
Speculative Decoding
RLHF
Synthetic Data Generation
Academic Research
Developer Relations
Accelerated Computing

Seniority

Senior

Perks

Stock or equity

Tools

PyTorch
JAX
CUDA
TensorRT-LLM
Triton Inference Server
NeMo
Megatron
NCCL
DGX
InfiniBand

Languages

English

Fields of study

Computer Science
Artificial Intelligence
Machine Learning
Applied Mathematics
Electrical Engineering

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Work requirements

Jobs in Canada