Hybrid · Toronto
You will lead the design and development of a unified decision intelligence product that integrates data from R&D efforts into actionable insights. This involves applying AI/ML methods to surface patterns and anomalies while providing technical direction to data engineers and analysts.
Hybrid · Toronto
The Senior Scientist will lead the development and implementation of an ultra-high-accuracy system detection efficiency metrology capability for SNSPD-based detectors. They will also be responsible for designing near-infrared optical metrology systems and performing detailed cryostat-based characterization to ensure performance and stability.
Hybrid · Toronto
You will design, simulate, and characterize high-performance superconducting single-photon detectors to advance the scalability of the SNSPD platform. This role involves managing the end-to-end device development lifecycle, from initial concept through to fabrication, validation, and deployment in detector arrays.
On-site · Toronto
The Sr. Equipment Engineer will manage the installation, maintenance, and optimization of critical semiconductor and photonic fabrication equipment. They will act as the primary equipment owner, ensuring cleanroom safety, managing spare parts, and resolving complex mechanical and electrical issues.
Hybrid · Toronto
The Business Development Lead will drive new commercial business models and partnerships by bridging the gap between photonic quantum hardware and industrial applications. This role involves leading the end-to-end sales cycle, developing go-to-market strategies, and building strategic alliances across key enterprise verticals.
Hybrid · Toronto
The Technical Product Marketing Manager will lead the go-to-market strategy, messaging, and positioning for the PennyLane quantum software framework. They will collaborate with engineering and product teams to create technical content and marketing campaigns that drive developer adoption and business growth.
Hybrid · Toronto
You will architect and lead the development of an internal agentic AI research platform to accelerate R&D. This involves partnering with researchers to build automated pipelines, SDKs, and APIs while enforcing high engineering standards.
Hybrid · Toronto
The AI Specialist will develop ML-based optimization strategies to enhance quantum hardware design and internal simulation software performance. They will collaborate with researchers and engineers to build high-performance simulators and improve R&D efficiency through advanced data processing methodologies.
Hybrid · Toronto
The AI Specialist will drive applied AI initiatives by analyzing R&D data and developing machine learning strategies to advance quantum computing. This role involves collaborating with researchers and engineers to design, implement, and test novel ML-driven solutions for complex research challenges.
Hybrid · Toronto
You will design, build, and maintain the backend infrastructure and APIs that power quantum hardware development. This involves collaborating with hardware engineers and scientists to translate research needs into scalable, production-quality software solutions.
Hybrid · Toronto
You will design and optimize cutting-edge quantum algorithms for simulating molecules and materials on fault-tolerant quantum computers. Additionally, you will collaborate with cross-functional teams to identify high-value applications and deliver real-world solutions for industry partners.
Hybrid · Toronto
You will develop performance monitoring and benchmarking tools for the PennyLane and Catalyst quantum software stack. Additionally, you will create high-performance software components and extensions to ensure PennyLane remains a leading quantum computing framework.
Hybrid · Québec
You will lead SNSPD process development efforts at the 3IT Nanofabrication Facility and collaborate with foundry partners to transition processes into high-volume manufacturing. Additionally, you will work with internal stakeholders to optimize fabrication processes and ensure all critical detector performance metrics are met.
Remote · Canada
You will lead the architectural strategy and design lifecycle for complex analog and mixed-signal ICs within a photonic quantum computing environment. This role involves mentoring engineering staff, managing external design partners, and overseeing the entire process from tape-out to silicon characterization.
Hybrid · Toronto
You will develop and optimize fabrication processes for integrated photonic devices using crystalline electro-optic materials. Additionally, you will manage wafer lots at foundry partners and design experiments to improve fabrication performance.
On-site · Toronto
The Cryostat Technician will support the assembly, testing, and maintenance of large-scale cryogenic platforms for photon detector systems. They will collaborate with multidisciplinary teams to ensure operational efficiency and perform routine performance logging and troubleshooting.
On-site · Toronto
The technician will interface with photonic chip designers to perform optical measurements, device characterization, and hardware assembly. Responsibilities include sample preparation, data analysis, and reporting findings to stakeholders within a laboratory environment.
Hybrid · Toronto
The Sr. Technical Program Manager will lead the delivery of quantum hardware systems by managing schedules, budgets, and cross-functional engineering teams. This role serves as the primary liaison for government contracts like DARPA and proactively resolves technical or operational bottlenecks.
Hybrid · Toronto
The Technical Project Manager will lead complex engineering projects from planning through delivery by coordinating with R&D and cross-functional teams. They are responsible for defining project scope, managing risks and dependencies, and ensuring alignment on milestones and deliverables.
Hybrid · Toronto
The Staff Control Systems Architect will own the architecture of the central control system for fault-tolerant quantum computers, including real-time feedback, calibration, and data flow. They will define system interfaces and requirements while mentoring engineering teams to ensure coherence across hardware and software subsystems.
