Applied AI Software Engineer
Listed on 2026-05-04
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Science Manager
Applied AI Software Engineer
Department: Software Engineering
Employment Type: Full Time
Location: Remote (Canada)
Compensation: The base annual salary range for this full-time role is between $156,200 to $214,800. This range reflects the minimum and maximum target range for new hire base salary across all Canadian locations. Actual compensation may vary outside of this range and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs.
Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future.
As an Applied AI Software Engineer at Photonic, you will play a key role in identifying and delivering high-impact applications of Artificial Intelligence (AI) and Machine Learning (ML) across our Development and Engineering (D&E) organization. You will work closely with scientists, software engineers, and technical leaders to translate complex technical workflows into practical, trusted, and scalable AI-enabled solutions. In this role, you will help accelerate areas such as automation, technical analysis, knowledge retrieval, and engineering productivity in support of Photonic’s mission to build the world’s first universal scale quantum computer.
This is an ideal opportunity for someone who thrives in a highly technical, cross-functional environment and wants to shape how AI is applied in a rigorous and security-conscious setting.
- Identify high-value opportunities to apply AI, ML and DL across Photonic’s technical workflows, with a focus on research, development and engineering.
- Lead engineers through the design, prototyping, development and deployment of AI-enabled tools that support quantum and other technical workflows.
- Prioritize AI initiatives based on technical feasibility, business value, adoption potential, and risk.
- Establish evaluation methods and benchmarks to determine whether AI solutions are accurate, useful, and trustworthy in production settings.
- Partner with scientists, engineers, and technical leaders to understand difficult problems and determine where AI, ML and DL can materially improve outcomes.
- Integrate AI capabilities into existing software platforms, engineering workflows, and technical processes where appropriate.
- Advise technical opportunities, tradeoffs, risks, and outcomes clearly to both technical and non-technical stakeholders.
- Help shape AI standards, governance, and safe usage practices in partnership with relevant stakeholders.
- Mentor teams in the practical use of AI methods, tools, and workflows.
- Graduate degree in Computer Science or Engineering with a focus on AI, ML, or DL.
- Deep understanding of modern neural network architectures and model families and when each is appropriate for different problem classes.
- 5+ years of experience developing, improving and applying AI/ML/DL models within scientific computing, advanced engineering, semiconductor, quantum, or similar technical environments.
- Experience applying AI/ML/DL models for optimization, search, simulation-driven workflows, or design space exploration (DSE).
- Experience with secure enterprise AI deployment, model evaluation, and AI governance.
- Strong software engineering background with experience designing and delivering production-quality systems.
- Demonstrated ability to work effectively in ambiguous, research-heavy, or technically complex environments.
- Excellent communication skills, including the ability to clearly explain complex technical concepts to senior technical talent.
- Outstanding collaboration skills and the ability to build credibility across diverse technical teams.
- Nice to have – experience with any of the following: group algebra, group theory, graph theory, representation theory, quantum error correction, quantum compiling.
- Work closely with some of the brightest innovators in quantum technologies to drive breakthroughs that redefine computing.
- Enjoy a fast-paced and fun…
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