AI Specialist - Simulation & Optimization

Job Description

Job Title: AI Specialist - Simulation & Optimization. Location: Toronto, Ontario, Canada

Responsibilities:

• Develop ML-based optimization strategies to tune parameters of simulated systems and quantum hardware
• Improve performance of internal simulation software using GPU programming and high-performance computing
• Build high-performance simulators for complex physical systems modeled by differential equations;
• Develop and test new machine learning algorithms to improve research and development efficiency
• Collaborate with hardware engineers, scientists, and software developers on AI-driven solutions
• Build reproducible data analysis and modeling workflows;
• Optimize scientific software using profiling, debugging, and performance tuning techniques

Qualifications:

• Bachelor’s degree in Physics, Mathematics, Computer Science, Engineering, or related field
• 6+ years of industry experience in ML, AI, simulation, data science, or optimization
• Strong experience in Python and scientific computing libraries (numpy, pandas, scipy, sklearn, jax, etc.)
• Experience with ML-based optimization and simulation systems;
• Experience building simulators for physical systems and control systems
• Experience with GPU programming (CUDA) and HPC environments
• Strong understanding of physics, linear algebra, and statistics
• Experience with software development workflows (Git, CI/CD, testing, debugging)
• Familiarity with Linux, Docker, and cloud-based development environments

Preferred:

• MSc or PhD in relevant technical field
• Experience in reinforcement learning, representation learning, or generative modeling
• Exposure to quantum computing concepts
• Experience with statistical inference and signal processing
• Experience working on embedded or high-performance ML systems

Benefits and Compensation:

• Salary range: 140,000 – 190,000 CAD annually
• Equity participation
• Full employee benefits package
• Opportunity to work on cutting-edge quantum computing and AI systems
• Collaboration with global research and engineering teams

Other Information:

• Must be authorized to work in Canada
• Role may involve AI-assisted screening in hiring process
• Inclusive and equal opportunity workplace