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Added 2 months ago
V
Sr Data Engineer, Specialist
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Toronto, ON
- Full-time
Ideal candidates have 5+ years of data engineering experience and thrive in environments where they drive
Added 2 months ago
EB
Senior Manager, Model Development
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Toronto, ON
- Full-time
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Added 2 months ago
C
Senior DevOps Lead - Vice President
Citi
Mississauga, ON
- Full-time
…areas of CI/CD, Infrastructure management, and Site Reliability Engineering. This role will be responsible for modernizing and optimizing technology platforms, infrastructure, and…
Added 2 months ago
LM
Senior Hardware Engineer
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- Full-time
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Added 2 months ago
H
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- $100,000 to $110,000 CAD / year
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Added 2 months ago
S
Python Developer
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Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $125,000 CAD / year
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Added 2 months ago
JG
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Added 2 months ago
A
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- Full-time
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Added 2 months ago
X
AI Specialist - Simulation & Optimization
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Toronto, ON
- Full-time
…building and improving modeling, optimization, simulation, data processing, and design methodology for all internal research. At the intersection of multiple technical disciplines, you will…
Added 2 months ago
Production Support - SRE
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Added 2 months ago
XS
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Remote, Canada
- Full-time
- Remote
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Added 2 months ago
C
Applications Support Senior Manager - Global Markets Regulatory Support
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- Full-time
…role accountable for leading a professional team within the Data - Production Management group. This position requires a comprehensive understanding of how multiple areas within the Global…
Added 2 months ago
C
SVT/PV Engineer 1 - New Grad
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- Full-time
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Added 2 months ago
EB
Manager, Risk Data & Model Implementation
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- Full-time
The Manager, Risk Data & Model Implementation (“MDMI”) reports to the Senior Manager, Risk Data & Model Implementation (“SMRDMI”), and supports the SMRDMI, the Senior Director, Risk Data &…
Added 2 months ago
IT Industrial CrossFunction - Full Stack & AI Integration
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…processing, anomaly detection, natural language interfaces for plant data, and AI-assisted decision support…
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Senior Software Engineer
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Added 2 months ago
Consulting Associate/Cybersecurity & Incident Response (Forensic Services practice)
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Toronto, ON
…level of initiative. We expect Consulting Associates to use data to solve client problems, work collaboratively with a team, effectively manage their time, prioritize tasks, and take pride…
Added 2 months ago
EC
Ingénieur(e) en réseaux de puissance / Power Systems Engineer
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- Full-time
Connaissance de Python, y compris une maîtrise de l'analyse et de la manipulation de données à l'aide de bibliothèques telles que Pandas, NumPy et Matplotlib.
Added 2 months ago
AI & Agentic Engineer, Senior
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Montreal, QC
We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise - we build, implement, and deliver results our…
Added 2 months ago
Summer 2027 Long Term ASIC Verification Engineering Intern/ Co-Op
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Ottawa, ON
…property (IP) for the next generation communication networks and data centers. You’ll work with a highly motivated team of engineers developing advanced verification environments for…
Added 1 month ago
BT
Data Analyst - Winnipeg Office
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Winnipeg, MB
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Added 2 months ago
2
Technical Test Analyst II / I
2K
Vancouver, BC
- $51,400 to $89,860 CAD / year
…telemetry analysis, and performance monitoring) to improve developer workflows. This is a high-impact role where you will leverage the resources of a global leader in a premier studio…
Added 2 months ago
N
Staff Optical Firmware Integration Engineer
Nokia
Ottawa, ON
- Full-time
Exciting opportunity to work on next-generation Optical Coherent Pluggable technologies powering high-speed Data Center and Telecom network. In this role, you will be immersed in a…
Added 2 months ago
SL
AI Engineer
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Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
The Canada IT – Platforms and Engineering Domain is looking for an AI Engineer with 3+ years of development experience. You will drive GenAI innovation, implement cutting-edge cloud…
Added 2 months ago
A
Associate Software Engineer (Winter 2027)
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Internship
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Xanadu

AI Specialist - Simulation & Optimization

Toronto, ON, Canada

The base salary range is 140,000 - 190,000 CAD. · Full-time

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Job details

Pay: The base salary range is 140,000 - 190,000 CAD.
Job type: Full-time
Posting language: English
Posted: Aug 31, 2026

Original job description

About Xanadu:

Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.

At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating something that has never been built before. What we are doing is extremely hard, the classic moon shot. Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems and literally change the world. And that is something to be excited about!

Your role and responsibilities:

As an AI Specialist at Xanadu, you will drive applied AI initiatives by optimizing the very core of our R&D efforts. Your work will focus on enhancing the performance of our most crucial systems, from the design and characterization of our quantum hardware to the execution of internal simulation software on high-performance computing platforms. Using state-of-the-art machine learning, GPU programming, and advanced optimization techniques, you will accelerate our progress toward the first commercially viable quantum computer. The AI team focuses on building and improving modeling, optimization, simulation, data processing, and design methodology for all internal research. At the intersection of multiple technical disciplines, you will collaborate with leading researchers, scientists, engineers, and software developers, using cutting-edge ML to enhance software tools and potentially transform research processes. You will:

Develop and implement sophisticated, ML-based optimization strategies to tune the parameters of simulated systems and physical hardware, combined with statistical analysis of output uncertainties.
Optimize the execution of internal simulation software by leveraging GPU programming, code profiling & optimization, and high-performance computing (HPC) platforms.
Design and build high-performance simulators for complex physical systems, often modeled by differential equations.
Develop and rigorously test new ML algorithms and tool kits to improve R&D efficiency.
Collaborate closely with hardware engineers and scientists to create and implement novel ML-driven solutions for complex research challenges.
Establish and maintain reproducible data analysis and modeling workflows.

At Xanadu, we primarily work with Python, Jax, GitHub, Docker, CI pipelines, Jupyter and multiple cloud platforms. Proficiency in these technologies is essential.

Basic qualifications and experience:

BSc. in Physics, Math, Computer Science, Engineering, or a related field.
6+ years of industry experience in any of the fields: ML/AI, physical sciences, physical design and optimization, simulation software, data science, statistics, or control systems, etc.
Strong knowledge of Python and its numerical/scientific ecosystem (numpy, pandas, xarray, pytorch, jax, cuda, scipy, sklearn, ray, etc.)
Hands-on experience with ML-based optimization and the optimization of numerics or simulation software.
Experience writing and designing simulators for complex physical systems (e.g., differential equations) and control systems.
Experience with GPU programming (e.g., CUDA).
Experience with software development lifecycles, including version control, code review, testing, CI/CD, logging, profiling, debugging, and documentation.
Comfortable working with Linux shell, Docker, Git, and GitHub.
Enthusiasm for learning new technologies and scientific concepts with minimal supervision.
Solid communication and collaboration skills.
Strong self-driven analytical and problem-solving abilities.
Good knowledge of physics, linear algebra, and statistics.

Preferred qualifications and experience:

MSc/PhD in Computer Science, Engineering, Physics, Math, or related field.
Excellent knowledge in physics and linear algebra.
Experience with representation learning, reinforcement learning, and generative modeling.
Familiarity with or curiosity towards quantum computing.
Rich experience in any of these areas:
Statistical inference
GPU programming
ML or signal analysis on ultrafast embedded systems
Reinforcement learning

This is for a new position. Your base salary will be determined based on your location, experience, and internal benchmarks. The base salary range is 140,000 - 190,000 CAD. You will also be eligible for equity and benefits.

Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here.

We are an equal opportunity employer and encourage candidates of all backgrounds to apply. We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at recruiting@xanadu.ai.

Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Drive applied AI initiatives to optimize quantum hardware design and internal simulation software on HPC platforms. Develop ML-based optimization strategies and high-performance simulators for complex physical systems.

Requirements

Requires a BSc in a technical field and 6+ years of industry experience in ML, AI, or physical sciences. Proficiency in Python, GPU programming, and software development lifecycles is essential.

Skills

Machine Learning
GPU Programming
CUDA
Python
Jax
High-Performance Computing
Optimization
Simulation Software
Differential Equations
PyTorch
Docker
CI/CD
Linear Algebra
Statistics
Data Analysis
Control Systems

Benefits

Equity
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Quantum Computing
Python
Jax
Numpy
Pandas
Xarray
PyTorch
CUDA
Scipy
Sklearn
Ray
GitHub
Docker
CI Pipelines
Jupyter
Linux Shell
Representation Learning
Reinforcement Learning
Generative Modeling
Statistical Inference
Signal Analysis
HPC
Differential Equations
Linear Algebra
Physics

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