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Added 1 month ago
I
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
Added 1 month ago
A
Junior Electrical Engineering Analyst
AtkinsRéalis
Pickering, ON
- Full-time
Provide prompt technical resolutions for engineering issues.
Added 1 month ago
TR
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 2 months ago
SQ
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 2 months ago
EA
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 2 months ago
T
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 2 months ago
S
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 1 month ago
AM
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 1 month ago
Software Development Engineer in Test, Creativity Apps (SDET)
Apple
Vancouver, BC
Minimum of 1+ years experience as a Software Engineer in Test
Added 1 month 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 2 months ago
PN
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 2 months ago
JG
Business Analyst
J&M Group
Toronto, ON
- Full-time
Responsive| confident and prompt communication
Added 2 months ago
N
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 2 months ago
N
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 1 month ago
RB
Senior AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Added 1 month ago
R
Senior AI Engineer
RBC
Toronto, ON
- Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Added 2 months ago
L
Senior AI Platform Engineer
Luxoft
Toronto, ON
- Contract
As an AI Platform Engineer for AI & Emerging Tech, you will drive AI platform enablement across the enterprise. This role sits at the intersection of engineering, governance, and user…
Added 2 months ago
Intermediate AI Engineer
Price Industries Limited
Winnipeg, MB
Join our AI team as an Intermediate AI Engineer, where you'll build and deploy AI applications, agents, and automation solutions that solve real business problems. You'll work closely with…
Added 2 months ago
VC
AI Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
Integrate synthetic red teaming into CI/CD to prevent prompt drift, reward hacking, and logic degradation
Added 2 months ago
C
Senior Software Engineer, AI
Calabrio
Remote, Canada
- Remote
Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer…
Added 2 months ago
K
Manager, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 2 months ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 3 months ago
K
Senior Manager, SR&ED (Software Engineer)
KPMG
Vancouver, BC
- Full-time
…skills/subagents, automation agents, and multi-agent workflows) beyond prompt writing, combined with strong system-level technical fluency to understand and evaluate architectures,…
Added 3 months ago
K
Manager, SR&ED (Software Engineer)
KPMG
Vancouver, BC
- Full-time
…skills/subagents, automation agents, and multi-agent workflows) beyond prompt writing, combined with strong system-level technical fluency to understand and evaluate architectures,…
Added 2 months ago
S
AI Engineer
Sanofi
Toronto, ON
- Full-time
We are seeking a skilled AI Engineer to drive innovation and impact at the intersection of AI and Commercial operations. This role will be a part of the Digital Commercial Advanced…

SuperQ Quantum Computing

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

Remote, Canada

Remote

$90,000 to $120,000 CAD / year · Full-time

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Job details

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

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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