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Americas, Canada, Burnaby

Posted 9 days ago

Algorithms Researcher II

🏢 D-Wave

CAD 89K - 134K per year

+2 benefits
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Role Type

🧪 Scientist / Researcher

Role Focus

💻 Code Systems

Seniority

🌿 Experienced
🌸 PhD / Postdoc

Employer Type

🏢 Industry

This role involves working as an Algorithms Researcher II on the internal Benchmarking Team, focusing on algorithmic improvements for D-Wave’s Hybrid Development Program. The researcher conducts independent research and development activities to benchmark and characterize quantum computing systems. They are responsible for implementing algorithmic ideas, designing novel quantum-classical hybrid algorithms, analyzing results, and communicating findings to stakeholders.

Key Responsibilities

Conduct research and development activities focused on benchmarking and characterization of D-Wave's quantum computing systems.

Implement algorithmic ideas to improve the operation of the Quantum Processing Unit (QPU).

Design novel quantum-classical hybrid algorithms.

Develop graph embedding techniques necessary for mapping mathematical models to the QPUs.

Analyze and track experimental results over time to identify promising areas of performance.

Required Skills

Intermediate-level Python programming skills.

Intermediate-level C++ programming skills.

Master's or PhD degree in Computer Science, Physics, Mathematics, or equivalent experience.

Deep understanding of graph theory.

At least three years of experience in a full-time research position.

Demonstrated ability to understand, articulate, and implement algorithms based on scientific research papers.

Nice-to-have Skills

Knowledge of machine learning algorithms.

Knowledge of Monte Carlo sampling methods and/or statistical physics.

Experience with exploratory and graphical methods of data analysis.

Proficiency in technical writing.

Technology Tags

D-Wave

The job is explicitly situated at D-Wave, which is known for its quantum annealing systems.

Optimisation

The job context explicitly mentions that D-Wave customers apply the technology primarily to optimization problems.

Hybrid algorithms

The researcher must design novel quantum-classical hybrid algorithms and work within the Hybrid Development Program.

Benchmarking

The role is part of the internal Benchmarking Team (BMT), and the activities include benchmarking and characterization of the systems.

Python

Intermediate-level Python programming skills are explicitly required for implementing algorithmic ideas and software pipelines.

ML approaches

Knowledge of machine learning algorithms is explicitly listed as a required skill for the role.

Statistics & probability

Required knowledge includes statistical physics and Monte Carlo sampling methods, which fall under the scope of statistics and probability.

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