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Added 27 days ago
AI Engineer
Cambio
Kitchener, ON
Full-time
We're looking for an AI Engineer to build AI-powered features, help teammates do their best work, and have fun doing it.
Added 9 days ago
Senior Machine Learning Engineer, GFT
Royal Bank of Canada
Toronto, ON
Full-time
…applications. We are seeking an experienced Senior Machine Learning Engineer to help shape, develop, and deliver AI applications and proof-of-concepts (POCs) across diverse business lines.…
Added 27 days ago
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology)
Fitch Group, Inc.
Toronto, ON
Full-time
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology) Fitch Ratings is seeking an experienced Full-Stack Software Engineer (Associate Director) to join our…
Added 23 days ago
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
Full-time
Added 10 days ago
AI Automation Co-op (Fall 2026)
Later
Vancouver, BC
We're looking for an AI Automation Engineer Co-op to embed with teams across Later and help replace manual, repetitive work with AI-powered tooling. This is a hands-on role at the…
Added 24 days ago
Junior Electrical Engineering Analyst
AtkinsRéalis
Pickering, ON
Full-time
Provide prompt technical resolutions for engineering issues.
Added 24 days ago
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
Full-time
…the insights product leaders rely on. We are seeking an AI Engineer to build those agents for our Tax, Audit & Accounting product portfolio. You will take pre-trained models, LLM APIs, and…
Added 28 days ago
AI Engineer (GPU & LLM Optimisation) – Canada / UAE / Remote
SuperQ Quantum Computing
Remote, Canada
$90,000 to $120,000 CAD / year
Full-time · Remote
SuperQ is looking for an AI Engineer specializing in GPU and LLM optimization to maximize the performance, scale, and efficiency of the models powering our multi-agent architecture. You…
Added 13 days ago
Senior Machine Learning Engineer, GFT
RBC
Toronto, ON
Full-time
…applications. We are seeking an experienced Senior Machine Learning Engineer to help shape, develop, and deliver AI applications and proof-of-concepts (POCs) across diverse business lines.…
Added 28 days ago
Full Stack Engineer
Linkus Group
Toronto, ON · Greater Toronto Area, Canada
$180,000 to $240,000 CAD / year
Full-time
We're looking for a Senior Full-Stack AI Engineer who thrives in ambiguity, loves building from scratch, and wants to shape the next generation of AI products alongside an experienced…
Added 28 days ago
MLOps (LLM/Gen AI) Developer
L'Oréal
Canada
Full-time
Develop and maintain modular, prompt-aware components with agent orchestration frameworks like LangChain.
Added 28 days ago
AI Software Engineer
Eclipse Automation
Cambridge, ON
Full-time
We need a AI Software Engineer who can turn architecture and technical plans into secure, reliable, production-ready solutions. Approximately 70–80% of the role will focus on AI systems,…
Added 28 days ago
Senior Agentic Engineer
TribalScale
Toronto, ON
Full-time
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 28 days ago
Full Stack Engineer
RedBranch Executive Search & Recruitment
Toronto, ON
Full-time
Building with LLMs in production: prompt design, evaluation, and cost and latency control.
Added 25 days ago
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce
Toronto, ON · Canada - Toronto
Full-time
You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.
Added 25 days ago
Agentic AI / Data Engineer - DC GPU
Advanced Micro Devices, Inc
ON · ONTARIO-HOME OFFICE, Ontario
Full-time
…infrastructure the easiest place to build and run AI. As an Agentic Data Engineer, you will build the data and agent systems that sit at the heart of this mission: production agentic AI…
Added 25 days ago
Software Development Engineer in Test, Creativity Apps (SDET)
Apple
Vancouver, BC
Minimum of 1+ years experience as a Software Engineer in Test
Added 21 days ago
GRO Program - Technology (Waterloo)
Manulife
Toronto, ON · Waterloo, ON
Full-time
…two 12-month placements in roles such as Full-Stack Software Engineer and Data Engineering. As part of GRO Technology, you’ll gain access to a supportive community, and benefit from…
Added 25 days ago
GenAI Architect
Lantern
Calgary, AB · Edmonton, AB · Vancouver, BC · Toronto, ON
Guide development teams on best practices in LLM orchestration, prompt engineering, and model deployment.
Added 25 days ago
Senior AI Engineer
Manulife
Toronto, ON · Waterloo, ON
Full-time
As a Senior AI Engineer, you will be responsible for Full-Stack Software Development i.e. building modern, cloud-based, and AI-enabled applications that help Manulife make decisions easier…
Added 1 month ago
Senior Full-Stack Developer
Projekt Network
Remote, Canada
$110,000 to $140,000 CAD / year
Full-time · Remote
…you've shipped something real and dealt with the consequences: prompt design, handling bad or unexpected output, streaming, latency, cost, and failure modes. Research or ML-engineering…
Added 1 month ago
Business Analyst
J&M Group
Toronto, ON
Full-time
Responsive| confident and prompt communication
Added 25 days ago
QA Engineer (AI Systems)
Nexxa.AI
Remote, Canada
Full-time · Remote
We're looking for a Lead / Senior / Staff QA Engineer to own quality for Nexxa's AI agent systems - products that plan, call tools, and take multi-step actions autonomously in industrial…
Added 25 days ago
Backend AI Engineer
Nexxa.AI
Remote, Canada
Full-time · Remote
Implement and optimize RAG systems, prompt/context pipelines, and orchestration layers connecting models to enterprise and operational data sources.
Added 19 days ago
Lead AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking an accomplished Lead AI Engineer to design, develop, and implement AI-driven solutions within our software development lifecycle. You will lead enterprise-scale AI…

SuperQ Quantum Computing

AI Engineer (GPU & LLM Optimisation) – Canada / UAE / Remote

Remote, Canada

Pay: $90,000 to $120,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Aug 24, 2026

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Original job description

Location: Canada preferred, also possible in UAE or fully Remote Experience: 4–6 years Company: SuperQ Quantum Computing Inc. About the Role SuperQ is looking for an AI Engineer specializing in GPU and LLM optimization to maximize the performance, scale, and efficiency of the models powering our multi-agent architecture. You will be the driving force behind accelerating inference, reducing latency, and optimizing hardware utilization as we scale our hybrid compute platform across industries like healthcare, manufacturing, and finance. Responsibilities Accelerate Inference: Optimize LLM inference and serving pipelines using high-performance frameworks (e.g., vLLM, TensorRT-LLM, TGI, Triton Inference Server). Model Compression: Implement state-of-the-art model compression techniques, including quantization (e.g., GPTQ, AWQ, FP8/INT8), pruning, and knowledge distillation to reduce memory footprints. Hardware Profiling: Profile GPU performance to identify and eliminate bottlenecks, optimizing memory management techniques such as KV caching and PagedAttention. Custom Compute: Develop and optimize custom CUDA or OpenAI Triton kernels for specialized, computationally heavy operations where standard libraries fall short. Cross-functional Deployment: Collaborate with backend and platform engineering teams to deploy highly scalable, low-latency AI endpoints within our Kubernetes-based infrastructure. System Monitoring: Ensure robust monitoring of GPU health, utilization metrics, latency, and throughput in production environments. Requirements Experience: 2–4 years of experience in ML engineering, AI infrastructure, or high-performance computing (HPC) with a strong focus on Large Language Models. Core Languages: Strong programming skills in Python; proficiency in C++ and/or CUDA is highly preferred. Frameworks: Hands-on experience with LLM serving architectures, distributed computing, and optimization libraries (e.g., DeepSpeed, Hugging Face Accelerate, Ray). Hardware Knowledge: Deep understanding of GPU architectures (NVIDIA), memory hierarchies, and parallel computing paradigms (e.g., NCCL). Infrastructure: Solid understanding of containerization and orchestration (Docker, Kubernetes) tailored for GPU-accelerated workloads. Bonus: Experience with hardware-aware neural architecture search (NAS), ML Ops, or working at the intersection of classical AI hardware and quantum compute interfaces. Benefits & Work Culture Benefits: Competitive salary plus bonus based on module delivery and platform impact. Stock options / equity – participate in the growth of a foundational tech platform. Global remote-friendly roles: Canada, UAE or anywhere remote; with occasional team meetups and hack-weeks. Learning & development stipend: conferences, AI/LLM workshops, certifications (e.g., in ML Ops, prompt engineering). “Innovation time” built into schedule: work on passion projects, internal hackathons, share learnings with the team. Cross-domain exposure: work across industries, build modules for different verticals – variety and career growth built-in. Work Culture: Startup-scale agility within a mission-driven organisation: you’ll have impact and shape the direction of the platform. Multi-disciplinary collaboration: you’ll work with quantum engineers, UI developers, domain experts – bridging tech and business. Strong focus on autonomy, responsibility and ownership: you’ll own modules end-to-end, from conception through production and maintenance. Culture of continuous learning: we encourage curiosity in new models, LLM architectures, AI trends, and provide time to experiment and publish/share. Balanced remote-first mindset: flexible working hours, asynchronous collaboration but also moments of in-person/virtual team building. Equal Opportunity Statement SuperQ is dedicated to building a workplace where everyone can thrive. We are an equal opportunity employer and we make employment decisions based on merit, qualifications and business needs-without regard to race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. We value diversity, equity and inclusion and strive to create a culture of belonging for all employees. Interested in this role? Click here to apply.

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More about this job

Responsibilities

The role focuses on maximizing the performance and efficiency of LLMs through inference acceleration and model compression. Responsibilities include profiling GPU performance, developing custom CUDA kernels, and deploying scalable AI endpoints via Kubernetes.

Requirements

Requires 2-4 years of experience in ML engineering or HPC with a strong focus on Large Language Models. Proficiency in Python is required, with C++ and CUDA skills highly preferred alongside experience in distributed computing frameworks.

Skills

GPU Optimization
LLM Optimization
vLLM
TensorRT-LLM
Triton Inference Server
Quantization
CUDA
OpenAI Triton
Python
C++
DeepSpeed
Hugging Face Accelerate
Ray
Docker
Kubernetes
NVIDIA GPU Architecture

Benefits

Competitive Salary
Performance Bonus
Stock Options
Equity
Global Remote-Friendly Roles
Learning And Development Stipend
Innovation Time
Cross-Domain Exposure

Remote locations

Canada
United Arab Emirates

Remote locations (standardized)

Canada
United Arab Emirates

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
GPU
LLM
vLLM
TensorRT-LLM
TGI
Triton Inference Server
Quantization
GPTQ
AWQ
FP8
INT8
Pruning
Knowledge Distillation
KV Caching
PagedAttention
CUDA
OpenAI Triton
Python
C++
DeepSpeed
Hugging Face Accelerate
Ray
NCCL
Docker
Kubernetes
ML Ops
Quantum Computing
HPC
Neural Architecture Search

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